Stabilizing Incremental Model Predictive Control and Its Applications in Contouring Control
Control Engineering of China ›› 2019, Vol. 26 ›› Issue (2): 258-263.
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稳定化增量MPC及在轮廓控制中的应用
Abstract: This paper presents a stabilizing incremental model predictive control (MPC) algorithm for discrete-time multivariable linear systems with measurable disturbances. Taking the incremental state-space model as the predictive model, the finite horizon optimal control problem of MPC is formulated and the corresponding MPC controller is determined, which has a structure combining measurable disturbance feedforward with time-delay state feedback. Using the Lyapunov-Krasovskii stability theory of time-delay systems, we establish some sufficient conditions guaranteeing the stability of the closed-loop system with no constraints. Finally, the simulation example of a constrained biaxial contouring control system is employed to illustrate the validity of the algorithm proposed here.
Key words: Model predictive control, multivariable control, stability, time-delay, contour control
摘要: 考虑一类扰动可测的离散时间多变量线性系统,提出一种稳定化增量模型预测控制(MPC)算法。以控制增量状态空间模型作为预测模型,定义MPC的有限时域最优控制问题,得到具有可测扰动前馈-时滞状态反馈结构的MPC控制器。进一步,利用时滞系统(Lyapunov-Krasovskii,L-K)稳定性理论,建立无约束闭环预测控制系统的稳定性充分条件。最后通过对约束平面轮廓控制系统进行仿真控制研究,仿真结果验证了所提出算法的正确性和有效性。
关键词: 模型预测控制, 多变量控制, 稳定性, 时滞, 轮廓控制
ZHANG Quan-peng, HE De-feng, WU Sai-nan, YU Shi-ming.
Stabilizing Incremental Model Predictive Control and Its Applications in Contouring Control [J]. Control Engineering of China, 2019, 26(2): 258-263.
张全鹏, 何德峰, 吴赛男, 余世明.
稳定化增量MPC及在轮廓控制中的应用 [J]. 控制工程, 2019, 26(2): 258-263.
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URL: http://journal13.magtech.org.cn/Jweb_kzgc/EN/
http://journal13.magtech.org.cn/Jweb_kzgc/EN/Y2019/V26/I2/258
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