Control Engineering of China

A Convex Hull Vertices-Based Fault Diagnosis Algorithm for EMU Braking System

GUO Tian-xu, TAI Xiu-hua, CHEN Mao-yin, ZHOU Dong-hua

2019, 26(6): 1011-1014.

Asbtract ( )

Related Articles | Metrics

The brake system is one of the crucial systems to ensure the safe and normal operation of EMU. The fault diagnosis problem of EMU braking system is studied in this paper. Various types of faults are reproduced based on the braking test platform of high-speed train in CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd., China. Researches on fault detection and classification are carried out simultaneously. The convex hull selecting algorithm for fault diagnosis is proposed, which overcomes the problem that the classical convex hull solving algorithm cannot select convex hull vertices in higher dimension due to the high complexity. Based on the proposed algorithm, a convex-hull-vertices-based fault diagnosis method is proposed as well. The proposed method is applied to the fault detection and classification of EMU braking system, and its effect is verified by experiments.

Crowd Counting Algorithm Based on Local Density Classification

FAN Long-fei, JIANG Zi-zheng, LI Hai-feng, CHEN Xin-wei

2019, 26(6): 1015-1020.

Asbtract ( )

Related Articles | Metrics

Since the accuracy of the crowd counting is influenced by crowd density, a novel method for crowd counting is presented. Firstly, in the pre-processing stage, a sub-crowd segmentation method based on sliding window is designed, which improves the efficiency and precision. Secondly, the sub-crowds are divided into high-density and low-density. Then these two sub-crowds separately are trained off-line and choose the best feature combination and the regression model by experimental method. Finally, the selected combination of features and regression model are utilized to predict the number of persons. Compared with the state of the art algorithms, the average estimation error of the proposed algorithm is 18.9 % smaller, which proves the effectiveness of the algorithm.

Multi-image Synchronous Encryption Algorithm Based on Hyper-complex Fusion Model

TIAN Wen, LI Su-ruo, HU Yu-rong

2019, 26(6): 1021-1028.

Asbtract ( )

Related Articles | Metrics

In order to solve the defects as low security and decryption image distortion in current multi-image encryption technology, a new multi-image synchronous lossless encryption algorithm based on hyper-complex fusion model and fractional order chaotic dynamics permutation is proposed. The fractional order logistic map was constructed, and the dynamical permutation mechanism was designed by considering the pixels of each plain to permute all the plains. And four DCT coefficient matrixes were got based on discrete cosine transformation. Then the hyper-complex fusion model was designed to lossless fuse the four coefficient matrixes for obtaining composite matrix. Then the complex scrambling image was got by inverse DCT transform. Finally, chaotic mask was got by iterating the fractional order chaotic map again, and pixel encryption mechanism was designed by jointing the FrFT transform to realize the Multi-image encryption. The experimental data show that this algorithm has higher security and restoration quality.

Fuzzy Control Design for Periodic Dynamic Trajectory of TORA System

ZHENG Gong-bei, GAO Bing-tuan, LIU Chuan-de, XIE Ji-hua

2019, 26(6): 1029-1034.

Asbtract ( )

Related Articles | Metrics

Traditional research work on underactuated (Translational Oscillator with Rotational Actuator, TORA) system mainly focuses on stabilizing control of equilibrium points. In this article, a fuzzy control design scheme easy to realize is proposed to steer periodic oscillating trajectories of TORA system. Firstly, based on the dynamics of TORA, the frequency of translational oscillation platform is derived, and then the dynamic periodic orbits are followed, namely, the translational oscillation platform oscillating periodically while the rotational proof mass rotating with the fixed angular velocity. Secondly, based on the analysis of state variables, tracking error of system’s energy is employed as the inputs of fuzzy control system so as to reduce the dimension of the control system, membership function using one-side domain is applied to design fuzzy rules and the center of gravity method is used for defuzzification. Consequently, a practical fuzzy controller is achieved. Finally, simulation results and experimental results validate efficiency and practicability of the proposed control scheme.

Fault-tolerant Control Method of Wire Controlled Four Wheels Steering Vehicle Based on Control Allocation

ZHANG Shen-peng, ZHANG Deng-feng, LI Jun, WANG Zhi-quan

2019, 26(6): 1035-1041.

Asbtract ( )

Related Articles | Metrics

A kind of fault-tolerant controller with two-level structure is proposed in order to improve the handling stability and fault tolerance performance of wire controlled four wheels steering vehicles. It takes the front-wheel reference angle of the ideal vehicle model as the reference input. The basic control law of the top-level is designed based on the optimal control theory, to obtain the pseudo-control command. The control alloter of the bottom-level is then designed to distribute the front and rear wheel angles and drive the vehicle movement. The possible gain-type steering actuator faults are converted into the time-varying parameter perturbations for the control alloter design. A robust fault-tolerant control allocation algorithm is thus yielded, which can suppress the time-varying parameter perturbations and possible faults. The vehicle handling stability and fault tolerance are guaranteed. Finally, comparative simulation is executed for a four wheel steering vehicle time-varying 2-DOF model. The results indicate that the yielded controller based on the proposed fault-tolerant control allocation can effectively improve the vehicle handling stability and fault tolerance performance in the fault case.

The Design and Implementation of Antenna Servo Control for Vehicle Satellite Communication in Motion

DAI Li, LI Jun, CHEN Jia

2019, 26(6): 1042-1048.

Asbtract ( )

Related Articles | Metrics

With the advent of the information age, satellite communications play an increasingly important role. As a typical representative of this field, SOTM (Satellite communication on-the-move) system has been widely used. Based on the analysis and study of servo control subsystem of the vehicle SOTM, a stepper motor servo control system is designed. The mathematic model of the actuator in the system is established by using the system identification toolbox in MATLAB. The servo system is simulated in MATLAB/Simulink. The speed-position dual closed-loop PID with disturbance compensation control algorithm is designed. The experimental results show that the proposed stepping motor servo control system can significantly suppress the disturbance of the carrier and meets the performance requirements.

Research on AGV Vision Precision Positioning Technology by an Improved Two-Dimensional Code

LI Zhao, SHU Zhi-bing

2019, 26(6): 1049-1054.

Asbtract ( )

Related Articles | Metrics

Aiming at the problem of traditional vision guided AGV(automated guided vehicle) positioning accuracy, an improved dimensional code precision positioning method is proposed. This method uses the two-dimensional code after the addition of frame processing as a positioning reference, the datum model is established by using the dimension of each frame sample. Through the extraction of the image of the two-dimensional code rectangle contour, determine the center coordinates of the rectangular region; then, the unified coordinate system can be got by coordinate rotation transformation. At last, calculating the error through the center point, achieve precise positioning. Experimental results show that, position once, it can improve the AGV positioning accuracy to 1 mm by this method.

Research on Tracking Control Strategy of Uncalibrated Robot Visual Servo System

CHEN Mei, CHE Shang-yue

2019, 26(6): 1055-1059.

Asbtract ( )

Related Articles | Metrics

Aiming at the un-calibrated robot Visual Servo system of the eye in hand structure, a fuzzy control strategy with image feature as feedback is proposed to track the moving objects in the plane. The control strategy is simulated by Matlab and Robotic toolbox. The motion tracking system of an un-calibrated robot Visual Servo system is constructed based on three axis Cartesian coordinate system robot, camera and computer. The working principle of the system is as follows: the current image is collected by the camera, then the relative position of the object and the end of robot is measured by Matlab image processing, the action state of the robot is controlled by the fuzzy controller. According to the image real-time feedback from camera, constantly correct the deviation, and ultimately achieve stable tracking. The experiment and simulation experiment of physical crawling verify the feasibility and practicability of the system. It provides a new way to improve the rapid crawling of industrial automation production line, and paves the way for the follow up of un-calibrated servo system.

Based on Hybrid Fisher and Fuzzy Algorithms to Improve Classification Accuracy of EEG-Based SSVEP Brain Signals

DU Xiu-lan, ZHANG Jin, MAO Xiao-qian, ZHANG Kai-li, LI Wei

2019, 26(6): 1060-1067.

Asbtract ( )

Related Articles | Metrics

In order to improve the classification accuracy of electroencephalographic based on the steady-state visual evoked potential (SSVEP) in brain computer interface (BCI), a new classification algorithm combining Fisher and Fuzzy is proposed in this paper. First, the algorithm uses Fisher to obtain the optimal projection direction and the threshold value for the EEG signals. Second, calculate the distance d and fuzzy it. Finally, the classification result is obtained by fuzzification and defuzzification process. The classification algorithm overcomes the shortcoming that the samples in the ambiguous area cannot be accurately classified by using a single Fisher classifier in SSVEP for multiple classification problems. In the three, four and five-classification based on the SSVEP, the classification algorithm proposed in this paper has achieved 94.72 %, 92.18 % and 86.08% average classification accuracy that are higher than using a single Fisher classifier achieved 90.07 %, 80.60% and 74.42%. Faced with the low separability data set, the algorithm can significantly improve the classification accuracy.

T-S Fuzzy Identification Method Based on Nearest Neighbor Fuzzy Clustering

WANG Na, HU Chao-fang

2019, 26(6): 1068-1073.

Asbtract ( )

Related Articles | Metrics

In order to improve the identification accuracy of the T-S fuzzy model, and to solve the problem of determining the clustering centers in the traditional clustering algorithms, a Nearest Neighbor Fuzzy Clustering-based (NNFC) T-S fuzzy identification method is proposed. Firstly, the proposed nearest neighbor clustering approach decreases the subjectivity of the artificial presetting for the initial parameters of clustering. And the computation efficiency of clustering is also increased. Furthermore, the result of nearest clustering is afforded for the initial parameters of the Fuzzy c-Means (FCM) algorithm. Thus the premise parameters in the fuzzy rules are identified accurately. Finally, the Stable Kalman Filter (SKF) method is combined with the presented NNFC to estimate the consequent parameters quickly. The effectiveness of proposed method is verified by the classic chemical pH neural process.

EEG De-noising Method Based on Nolinear Multiscale Representation

GENG Xue-qing, SHE Qing-shan, ZHANG Qi-zhong, MA Yu-liang

2019, 26(6): 1074-1080.

Asbtract ( )

Related Articles | Metrics

In order to extract meaningful information from noise-contaminated Electroencephalogram (EEG) signals with the characteristics of non-stationarity, non-linearity and low signal-to-noise ratio (SNR), a new EEG de-noising method is proposed based on nonlinear multiscale representation in this paper. First, the singularity locations of EEG signal are detected. Secondly, EEG signal is processed by the nonlinear mulitscale representation (NMR) algorithm which uses nonlinear prediction operator constructed by polynomial cell-average interpolation in the vicinity of the intervals containing singularities while adopts linear prediction operator in other intervals. Next, the de-noised signal is obtained by reconstructing transform coefficients which are processed by threshold value at each scale．The efficiency of the proposed approach has been demonstrated by comparison with Garrote threshold, wavelet transform using hard threshold, soft threshold and adaptive threshold on both synthetic data and real BCI Competition IV Data Set 1. Experimental results show that this algorithm has a certain practicality and can be used to eliminate the noise of EEG signal in the brain-computer interface (BCI) system.

Research on Robot System for Information Detection of Bipolar Coal Mine #br# Disaster#br#

#br#

WANG Tai-hua , ZHANG Le-yi , QIN Yu-xin

2019, 26(6): 1081-1084.

Asbtract ( )

Related Articles | Metrics

Based on the coal mine actual characteristics, a robot system of coal mine disaster information exploration is designed in this paper. This robot walks along the I-beam track of the coal mine and uses the wireless control. When the disaster happens, the robot runs as quickly as possible to the nearest place of disaster, it can get the image and the information of the disaster environmental. And the information obtained is transmitted to the ground command center in real time. The system reaches a preliminary design requirement through the actual test.

Short-Term Load Forecasting Method Based on FFT Optimized Resnet Model

XU Yan-lu, LU Yue, ZHU Bing, WANG Bin-bin, DENG Zhuo-fu, WAN Zheng-wei

2019, 26(6): 1085-1090.

Asbtract ( )

Related Articles | Metrics

Power industry requires accurate short-term load forecasting to provide precise load requirements for power system control and scheduling. In order to improve the accuracy of short-term power load forecasting, a method based on FFT optimized ResNet model is proposed. The model first defines power load forecasting as a time series problem, then introduces one-dimensional ResNet for power load regression prediction, and proposes to use FFT to optimize ResNet, the FFT transform of a layer of convolution results gives the model the ability to extract periodic features in the data. Experiments show that the prediction accuracy of FFT-ResNet is better than several benchmark models in 6-hour power load forecasting, which indicates that this method has a good application prospect in power load forecasting.

Autonomous Mobile Robot Path Planning Based on Improved Artificial Potential Method

LUO Qiang, WANG Hai-bao, CUI xiao-jin, HE Jing-chang

2019, 26(6): 1091-1098.

Asbtract ( )

Related Articles | Metrics

In order to overcome the shortcomings of artificial potential field method in path planning of mobile robots, an improved artificial potential field method is proposed. The obstacles that outside the range of robot's movement are removed to reduce the amount of calculation; the distance between the robot and the target is introduced in the repulsion function to solve the problem of unreachable target. The tangent method is used to solve the problem of local minima point formed by the action of a single obstacle, and the search method is used to solve the problem of local minima point formed by the simultaneous action of multiple obstacles. Considering the complexity of path planning, an adaptive step adjustment algorithm is proposed. Finally, a simulation experiment is carried out on the Matlab platform. The experimental results show that the improved artificial potential field method can overcome the target unreachable problem and local minimum problem, and at the same time it has a greater superiority in amount of calculation, path planning steps and path smoothness.

Positive Gait Recognition Method Based on Kinect Depth Data in Occlusion Scene

2019, 26(6): 1099-1104.

Asbtract ( )

Related Articles | Metrics

Aiming at the difficulty of recognizing the obstruction of the human body in public, a method of using Kinect depth data to solve the positive gait recognition in the occluded scene is proposed. First, the image is captured by installing a depth camera at the top of the entrance and exit of the surveillance area, and the image is segmented by the background subtraction method, the RGB color space is normalized to detect and remove shadows to complete the image preprocessing. Then, the periodic changes of the skeleton structure of the lower body area evaluated by the Kinect are extracted from the front view, and the feature sets corresponding to the rear view are extracted from the depth information of the shadow outline. These feature sets retain high-resolution gait action information. Finally, the unidentified frame of a cluttered test sequence is compared with the matched frame of the training sequence to complete the final recognition. Experiments show that this method is computationally efficient and achieves satisfactory results at different levels of occlusion.

Cognitive Method Research with Simulated Feedback Regulation Mechanism for Chinese Character#br#

#br#

LI Wei-tao, SONG Cheng-nan, WANG Guang-xin, WANG Jian-ping, DING Mei-shuang

2019, 26(6): 1105-1111.

Asbtract ( )

Related Articles | Metrics

For the drawbacks of existing open-loop cognitive model and closed-loop feedback cognitive model with determinative cognition approach, an intelligent cognitive model with simulated feedback regulation mechanism and multi-cognition approach fusion is explored in this paper, to simulate human cognitive process of free regulating cognitive approaches in the face of various cognitive demand, with repeating intercomparison and deliberately from global to local cognitive characteristics. Firstly, an intelligent cognitive model with simulated feedback regulation mechanism and multi-cognition approach fusion is proposed, the structure and function of the model are proposed, and the operating mechanism of the model is designed. Secondly, the cognitive demanding of samples is analyzed to achieve the adaptive regulation from global to local of cognitive approaches to guide the establishment of optimized feature space and classified cognitive rules. Thirdly, the similarity index of cognitive result is defined to evaluate the credibility of cognitive outcomes to update the cognitive demanding of samples. Finally, the proposed model is applied to the offline handwritten Chinese character cognition. Based on the simulation experiment on GB 23122 - 80 handwritten Chinese sample library, the average cognitive accuracy of this method is 92.78 %. The experimental results show the superiority of the method.

A Combined Particle Filter for Multiple Extended Target Tacking

HAN Yu-lan, HAN Chong-zhao, XUE Li

2019, 26(6): 1112-1117.

Asbtract ( )

Related Articles | Metrics

To track extended targets for the linear Gaussian system, the multiple extended target Rao-Blackwellised particle filter (RBPF), which estimates the data association and multiple target states jointly, is proposed. The proposed filter applies the particle filter to estimate the data association, and employs the extended target filter based on random matrix to estimate kinematic states and shape information of extended targets. First, the framework of the multiple extended target RBPF is proposed. Then, the joint proposal distribution for the association hypothesis is defined. Furthermore, the Bayesian framework of multiple extended target tracking is implemented by the combined filter, which applies the particle filter and the extended target filter based on random matrix. In comparison with the multiple extended target filter based on JPDA algorithm and the multiple extended target filter based on probability hypothesis density, simulation results show that the multiple extended target RBPF achieves the less error of the shape estimates, and enhances the position tracking accuracy in the situation that there are spatially close extended targets.

Observer Based Control for Nonlinear Single Joint Manipulator System

DONG Xue-lian, LIAO Jia-min, ZENG Meng-lan, ZHAO Xiong, XIANG Kui-wei, FEI Ling, ZHENG Liang

2019, 26(6): 1118-1125.

Asbtract ( )

Related Articles | Metrics

Aiming at a class of nonlinear dynamic single joint manipulator system, which subject to disturbance, uncertainty and fault, an observer based sliding mode control (OBSMC) strategy, is proposed. First, the state of the system and disturbance are observed by a composite estimator, and the fault is reconstructed by introducing a sliding mode surface. Second, in accordance with the estimation information, the OBSMC scheme is designed. The sliding surface is constructed with good reaching ability, and the stability of the system is guaranteed simultaneously. In addition, the performance is introduced to ensure the robustness of the system. Finally, the proposed method is applied to a class of flexible single joint manipulator system. The simulation results show that the observer has a high accuracy of the disturbance and fault signal, and the controller can guarantee the stability of the system, which illustrate the effectiveness of the proposed method.

Design of Intelligent Evacuation Indication System Based on Ant Colony Algorithm

DONG Hai-yan, DU Xiao-dong, DU Yi-zhi, WENG Zhi-yuan

2019, 26(6): 1126-1132.

Asbtract ( )

Related Articles | Metrics

An intelligent evacuation indication system of the buildings is proposed to find the optimal escape route via the ant colony algorithm. In addition, the proposed system can obtain the accurate information of the fire spot in time by interacting with the fire alarm. Therefore, the overall system is a complete dynamic escape system. The master controller of the proposed system, which is emergency lighting controller designed based on ant colony algorithm, manages the slave emergency power supply and allocates the electric devices and various lamps so as to guarantee the safety and unobstruction of the optimal escape route. The design of all links of the system including the hardware circuit and software flow is presented, and test analysis and experimental results are also given in this paper. The system has a simple and friendly human-computer interaction graphical interface. The concept of the “close evacuation” is changed to the “safe evacuation”, and the integration of measurement, control and management is further realized.

Online failure identification method for power equipment based on metering automation and integration platform

TAN Yu-hang, ZHANG Zhen-tao, YUAN Ling, LIANG Kang-you

2019, 26(6): 1133-1137.

Asbtract ( )

Related Articles | Metrics

Based on metering automation and integration platform, the online failure-identification method for power equipment of some special variable users is designed in order to solve the problem of quick failure-identification in the value-added service mode provided for those users. In the beginning, the time-series auto regression model for the device state parameters was set up, then the time-series including the device state values was quantized as the inputting ones of the system by self-organizing maps. The learning samples of the least square support vector machines model were built by using process input values in the sliding time window. The differences between the calculating regression results and measuring values of the feature vector were set as the observed ones. The background model of the system configured Background model of multidimensional observation value distribution system was fit by the Gaussian mixture model, in which the failure index was calculated by the matching degree between the individual observation and the background model to achieve the real-time identification of the equipment failure. The experimental results show that this method is able to predict failures online quickly and accurately.

Dynamic Robust Compensation Control for Electro-hydraulic Proportional Differential Variable-pitch of Wind Turbines

WANG Hui , YANG Qiu-shi

2019, 26(6): 1138-1144.

Asbtract ( )

Related Articles | Metrics

To overcome the impact of randomness of wind speed on dynamic characteristics of wind turbines system, a dynamic robust control method is used to compensate the uncertainty and external disturbance for the electro-hydraulic proportional differential variable-pitch system of wind turbines. Primarily, a mathematical model for wind turbines system was constructed in accordance with the process of electro-hydraulic proportional differential feathering. On this basis, a dynamic robust control system for wind turbines was proposed combined with a dynamic robust compensation controller. Furthermore, a simulation model of the given control system in the process of feathering was established by utilizing MATLAB/Simulink module. Under the condition of different wind speed signals, simulated and analyzed the control system in two cases that it contained and didn’t contain dynamic robust compensation controller. Finally, the response characteristic curves corresponded with given wind speed signals can be obtained. The simulation results indicate that the dynamic response of the proposed control system, which contains a dynamic robust compensation controller, is little influenced by different wind speed signals. Thus, under the application of dynamic robust compensation controller, the stability and robustness for variable-pitch control of the wind turbines are improved.

Researching on the Electromagnetism-like Mechanism Algorithm for Solving LBFFSP

HAN Zhong-hua, SUN Yue, LIN Shuo

2019, 26(6): 1145-1152.

Asbtract ( )

Related Articles | Metrics

To solve the limited-buffer flexible flow shop scheduling problem (LBFFSP), the LBFFSP’s mathematical model is established, and an improved electromagnetism-like mechanism algorithm (IEM) is proposed as the global optimizing algorithm. The random search is used in the local search strategy of standard electromagnetism algorithm, and the searching range of EM algorithm is small and it is easy to fall into the local extremum. So the idea of simulated annealing is introduced to accept the solution which makes the objective function value worse with a certain probability, which can enlarge the searching range of the algorithm, and increases the diversity of population particles, and effectively avoids the algorithm getting into the local optimal solution in the iterative search process. In addition, in order to further improve the efficiency of the algorithm for searching the optimal solution, the initial population establishment method based on optimization objective is designed to improve the quality of the initial solution of the initial population. Finally, the effectiveness of the IEM algorithm in solving the limited-buffer flexible flow shop scheduling problems is verified by comparing with SAEM algorithm and standard EM algorithm through examples tests.

Design of the Self-adaptive Filter for Nanometer Positioning Control System

HOU Jing, LIU Tao, LIU Jin-xin, HAN Zi-yang

2019, 26(6): 1153-1157.

Asbtract ( )

Related Articles | Metrics

In nanometer positioning control system, the control precision is nanoscale. The type and the algorithm of digital filter are the important factors to ensure the positional accuracy. But currently, the filter used in the nanometer positioning system is adopted traditional band stop filter with fixed parameters. When the nano position control system moves or the load is changed, the noise characteristics will change, and then the conventional fixed constant filter cannot effectively eliminate system noise. In order to resolve the problem an adaptive adjustment method of band stop filter which combined culture algorithm and case based reasoning is proposed. The experimental results prove that the proposed filter can effectively eliminate the system mechanical structure noise and guarantee the stability of the nanometer positioning control system.

Interconnected Power System Load Frequency Control Based on Super-capacitor

Super-capacitor, interconnected power system, load frequency control, fuzzy control

2019, 26(6): 1158-1162.

Asbtract ( )

Related Articles | Metrics

A fuzzy-logic controlled super-capacitor to improve the load frequency control (LFC) of an interconnected power system is proposed in this paper. The load perturbation unbalances the generation output power and load demand power, the primary target of interconnected power system load frequency control is to maintain the frequency and tie-line exchange power in normal range. In the proposed method, the frequency deviation is used as the input of the fuzzy-logic controller, the super-capacitor in each area is interfaced with a bidirectional Buck-Boost converter, which is used to control super-capacitor to charge or discharge. When the load suddenly changes, the super-capacitor will release or absorb power from the system to ensure the power system stable. The simulation results show that the fuzzy-logic controller can suppress frequency deviation caused by load power fluctuation, thus the load frequency control targets can be satisfied, and this method also has good robust and dynamic characteristic.

Research on Economic Optimal Operation for Micro-grid Based on Demand Response

LUO Xin, ZHAO Feng, LI Ying

2019, 26(6): 1163-1169.

Asbtract ( )

Related Articles | Metrics

Economic optimal operation of micro-grid is a significant direction of micro-grid research. In order to realize the comprehensive optimization of distributed generation-grid-loads of micro-grid, the resources including power supply side and demand side are fully considered with combination of the transferable load model under demand response and the economic optimal operation model of micro-grid in this paper, the chaotic firework algorithm (C-FWA) is used to optimize the load of demand side and the active power output of the power supply side synthetically, and the validity and feasibility of C-FWA for solving this type of problem are verified. The simulation results show that the economy of the micro-grid system is improved when the resources of power supply side and the demand side are fully taken into account, and the roles of peak clipping and valley filling are played in grid-connected operation mode.

BP Model of Coke Quality Optimization by Adaptive Differential Algorithm

DU Ji-dong, TAO Wen-hua, LI Shao-peng, GU Qi-yao

2019, 26(6): 1170-1176.

Asbtract ( )

Related Articles | Metrics

In order to solve the problem that the ash Ad, the sulfur fraction Std, the crushing strength M40 and the wear strength M10 in the coke quality index are difficult to measure in real time, an adaptive differential evolution algorithm (ADE) is proposed to optimize the BP network (ADE-BP) coke quality prediction model. Based on the actual input and output index system, the model is trained and simulated according to the historical data of the actual coking production process. The simulation results show that the adaptive differential evolution algorithm to optimize the coke quality model of BP network has higher prediction accuracy. This study provides a new idea for the difficult problem of coke quality index in coking production process, which can provide theoretical basis for high efficiency and low consumption production in coking industry.

Research on MPPT Strategy Based on Improved Area Different Method

LI Xin, ZHANG Hong, WANG Rui-zhen, NI Xiao

2019, 26(6): 1177-1182.

Asbtract ( )

Related Articles | Metrics

The maximum power point tracking of photovoltaic cells is one of the key technologies of photovoltaic power generation system. The current control method of photovoltaic maximum power point tracking accuracy is not high, has the disadvantages of slow tracking speed and oscillation near the maximum power point resulting in energy loss, to overcome these shortcomings, an improved adaptive control strategy based on the method of area difference is proposed. Through the DC-DC transform circuit changing impedance to match the photovoltaic cell output impedance, and the use of the genetic algorithm in the harsh environment quickly and accurately track the maximum power point can be combined with the characteristics of stable work in the area of adaptive maximum power point difference method to achieve maximum power point tracking. The model is built on the MATLAB/SIMULINK simulation platform, and the results show that the improved adaptive area difference control strategy has the advantages of high tracking accuracy, fast tracking speed and smooth operation at the maximum power point.

The Robust Selecting Weight Iteration Algorithm Application in Attitude Measurement

HE Hong-li, ZUO Yi-hong, LI Hong

2019, 26(6): 1183-1186.

Asbtract ( )

Related Articles | Metrics

It becomes more difficult to precisely align the radar array with the reference mounting surface of plane as the decrease of radar antenna array. A complete measurement scheme is given and a measurement system is constructed to solving the attitude measurement of small antenna array surface that installed on the airplane. According to the measurement data with gross error, a robust selecting weight iteration algorithm with initial value is proposed on the fundamental theory of tolerance estimation. The accuracy of the algorithm is verified, and the processing results are satisfactory. The algorithm has been successfully applied to the position measurement of airborne radar antenna array, and it can also be widely used in the installation and calibration of other weapon systems.

Fuzzy Control of Nonlinear Time-delay Systems Based on T-S Model

QI Shu-nan, ZHOU Kun, HUANG Tian-min

2019, 26(6): 1187-1191.

Asbtract ( )

Related Articles | Metrics

The problems of stability analysis and control design for nonlinear time-delay systems represented by a (Takagi-Sugeno, T-S) fuzzy model are investigated. Firstly, a novel integral inequality is chosen to dispose the integral term in the derivative of the Lyapunov-Krasovskii functional, and then the less conservative delay-dependent stability conditions are obtained. Secondly, combining with Finsler lemma, a fuzzy state feedback controller design strategy by means of linear matrix inequalities (LMIs) is presented under the parallel distributed compensation (PDC) technique. Finally, two numerical examples are given to show the effectiveness of the presented stability analysis and control strategy.

Seam Tracking Control of Robot Based on Fractional-order Control

ZHANG Yao, LIU Shu-qing, SHENG Guo-liang, LIU Xin

2019, 26(6): 1192-1196.

Asbtract ( )

Related Articles | Metrics

In order to improve the seam tracking control performance of the robot，a design approach of fractional-order

controller is proposed. Firstly, According to the principle of the fractional-order, the fractional-order

controller was designed. Secondly, hybrid particle swarm optimization (HPSO) was used to tune fractional-order

controller parameters. This algorithm is on the basis of particle swarm optimization (PSO) and combines the characteristics of genetic algorithm crossover and mutation，which improves the global search ability. The function based on integral of time-weighted absolute error (ITAE) is served as optimization objective, and the multiple signals of the system are simulated. The simulation shows that the fractional-order

controller has a fast convergence speed, good control effect and can achieve the anticipative effect.

A Model Study of the Existence of Relationship Among Input Variables in Group Decision Making

ZHAO Yan-ping

2019, 26(6): 1197-1203.

Asbtract ( )

Related Articles | Metrics

An improved triangular hesitant fuzzy multi-attribute decision-making model is proposed to solve the decision-making problem in which the attribute evaluation information is intrinsically related and the attribute value is triangular hesitant fuzzy element. Firstly, the basic operation rule of triangular hesitant fuzzy Einstein is defined by combining Einstein operation. Based on this rule, the trigonometric hesitant fuzzy weighted average (THFEWA) operator and the trigonometric hesitant fuzzy weighted geometric (THFEWG) operator are defined. Secondly, a trigonometric hesitant fuzzy model for multi-attribute decision making is developed based on the above two new operators. Finally, the proposed model is applied to evaluate the comprehensive performance of multimedia equipment. The experimental results show that the proposed decision-making model is feasible, more effective, and has certain application value.

The Mixed Multi-attribute Group Decision Making Method Based on Intuitionistic Fuzzy VIKOR

CHEN Guo-luan, TIAN Sen-ping

2019, 26(6): 1204-1210.

Asbtract ( )

Related Articles | Metrics

In order to solve the problem of group decision making problem with multiple attributes and mixed evaluation information, an evaluation method is proposed based on the intuitionistic fuzzy sets and VIOKR theory. First, the mixed attribute of different evaluation information is converted into intuitionistic fuzzy numbers, which can reduce the randomness and fuzziness of the evaluation information. Then, the minimum deviation optimization model is established to calculate the weight vectors of the experts and the attributes. In addition, the VIKOR theory is introduced to aggregate the evaluation values and rank the evaluation objects. The comparison with the TOPSIS method is presented to verify the feasibility and reliability of the proposed algorithm. Finally, the virtual training system of a certain type of power vehicle is used as research object and conduct the personnel business level decision-making, the results show that the group decision-making method can effectively realize the decision-making, and has a good engineering application value.

A Weighted Probability Cluster Head Selection Algorithm Based on FCM Clustering for Wireless Sensor Network

ZHAO Li-xin, DONG Chao-xian, ZHAO Li

2019, 26(6): 1211-1215.

Asbtract ( )

Related Articles | Metrics

Aiming at the problems of fast energy consumption and low lifetime of the traditional LEACH algorithm, a weighted probability cluster head selection algorithm based on FCM clustering for wireless sensor network routing protocol is proposed, which mainly optimizes the selection of cluster head. Firstly, the network was divided into several regions according to the location coordinates of the nodes by using FCM clustering algorithm. Assuming that WSN was consisted of heterogeneous nodes with different nodes' energy, the cluster head was selected by the concept of weighted probability according to different node types, at the same time, the cluster head nodes were distributed evenly. The simulation results show that the new algorithm has obviously improved the routing effect and prolonged network lifespan.

Research on Improved Pulse Vibration of High Frequency Injection Method Based on Wavelet Transform

SHI Wei-guo, YAN Xiao-yu

2019, 26(6): 1216-1221.

Asbtract ( )

Related Articles | Metrics

Aiming at the problem in accuracy of PMSM speed control system and position tracking that caused by the traditional high frequency signal injection method, an improved pulse vibration of high frequency injection method based on wavelet transform filter is proposed, which injects low amplitude and high frequency voltage signal in the d-axis. The multi-scale frequency band decomposition of the q-axis current signals containing the position information is carried out by using the db4 wavelet packet, the wavelet packet coefficient threshold is determined by the maximum and minimum criterion, and the position signal is effectively extracted by using the soft threshold selection method to reconstruct the decomposition factor of the wavelet packet. It can solve the problem of insufficient precision when extracting the low amplitude weak signal by the traditional Butterworth filter. The simulation results show that the proposed method can effectively eliminate the noise signal and extract position information. This method can ensure the accuracy of position tracking and greatly reduce the torque pulse vibration.

Online quality-related fault detection of industrial processes based on SFA

SUO Han-sheng, JIANG Bai-hua, GONG Xiang-yang, WANG Yong-yao, JIA Gui-jin

2019, 26(6): 1222-1227.

Asbtract ( )

Related Articles | Metrics

Considering the insufficiency of traditional monitoring methods to neglect dynamic information in the process industry, the study proposes a novel online feature reordering and feature selection based on slow feature analysis algorithm (improved FROSSFA), which can expand the SFA fault detection method to the field of quality-related fault detection. Finally, the proposed method is utilized in the process of Tenness-Eastman, and the results show that the improved FROSSFA method has higher fault detection rate, and it can determine whether the fault is related to the quality accurately.

Fuzzy PID Control System for Liquid Drip Speed Based on MSP430

GUO Xia, ZHANG Qian, TAN Ya-li

2019, 26(6): 1228-1232.

Asbtract ( )

Related Articles | Metrics

Doctors usually cure patients by intravenous infusion, according to the type of drug and the patient's specific illness, The appropriate infusion rate has a great impact on treatment of disease and patient safety. Based on the MCU MSP430 and the application of photoelectric sensor, a set of liquid drip speed fuzzy PID control system has been designed to set the injection speed of the liquid drip according to the injection speed of different drugs. And automatic control of liquid drip has been achieved through the fuzzy PID controller to control the output of stepper motor, which can reduce the risk of unattended infusion so as to guarantee the safety of all patients.

Table of Content