基于改进型滑模观测器的直驱PMSG矢量控制

黄守道1,邓超1,郑涛2,伍倩倩1

控制工程 ›› 2013, Vol. 20 ›› Issue (6) : 1018.

控制工程 ›› 2013, Vol. 20 ›› Issue (6) : 1018.
过程控制技术及应用

基于改进型滑模观测器的直驱PMSG矢量控制

  • 黄守道(1962-),男,湖南资兴人,博士,教授,博士生导师, 主要从事电机设计与控制、风力发电、太阳能发电研究与教学工作。
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Vector Control of Direct-driven PMSG Wind Turbine Based on Improved SMO

  • Huang Shoudao1, Deng Chao1, Zheng Tao2, Wu Qianqian1
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摘要

在分析直驱永磁同步风力发电机数学模型的基础上,提出了基于滑模观测器进行转子位置和速度估测的矢量控制方法,并对传统滑模观测器性能进行了改进:利用饱和函数替换不连续的开关函数,以削弱滑模观测器固有的抖振缺陷;另外,针对传统方法选用低通滤波器提取连续信号造成相位延迟的问题,构建出反电势观测器取代低通滤波器直接提取反电势信号,省略了相位补偿环节,改善了估测精度。通过对比仿真分析,证明该系统能准确估算转子位置和转速,有效削弱了抖振的影响,具有良好的动、静态性能。并进一步在实验室7.5kw模拟实验平台上对此方案的可行性和有效性进行了验证,研究结果为直驱永磁风电系统无速度传感器的工程应用提供了有一定理论指导价值的参考。

Abstract

Based on the mathematical model of direct-driven wind turbine with permanent synchronous generator(D-PMSG) the sliding mode observer(SMO) is built to achieve estimating rotor position and speed and its improvement. Saturation function to replace the discontinuous switching function to weaken the SMO inherent chattering defects. In addition, for the traditional method of selection of low-pass filter to extract continuous signal caused by the phase delay problem, this paper constructs the EMF observer to replace the low-pass filter is directly extracted from the back EMF signal, eliminated the phase compensation and improved the estimation accuracy. Eventually established a vector control system of direct-driven PMSG wind turbine based on improved SMO. By comparing the simulation analysis,the results that the system can accurately estimate the rotor position and speed, and has a good dynamic and static performance. And further experiments to verify the feasibility and effectiveness of the program, with the value of engineering applications.

Key words

  / Direct-driven permanent magnet wind turbine/ Improved SMO/saturation function/EMF observer

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导出引用
黄守道1,邓超1,郑涛2,伍倩倩1. 基于改进型滑模观测器的直驱PMSG矢量控制[J]. 控制工程, 2013, 20(6): 1018
Vector Control of Direct-driven PMSG Wind Turbine Based on Improved SMO[J]. Control Engineering of China, 2013, 20(6): 1018

基金

国家自然科学基金(50907020):国家国际科技合作项目(2011DFA62240);湖南省国际科技合作项目(2011WK2012)


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