改进的扰动LPV系统输出反馈预测控制

doi:10.16180/j.cnki.issn1007-7820.2023.01.012

Abstract

Abstract:

An improved robust predictive control method is proposed for a class of multicellular descriptive LPV systems with bounded state disturbances, and an output feedback controller is designed to ensure the asymptotic stability of the systems. To offset the bounded state disturbance, the controller considered the undisturbed LPV system, and based on the off-line state observer, the linear matrix inequality is used to solve the minimum-maximum optimization problem in the infinite time domain of predictive control. Then the off-line state observer is adopted to obtain the difference between the estimated values of the disturbed LPV system and the undisturbed LPV system, and the feedback gain of the guaranteed performance is determined, so as to obtain the optimal offset that makes the disturbed LPV system asymptotically stable, which is combined with the undisturbed system control law as the optimal control law and applied to the actual system. The experimental results show that the improved robust predictive control method can obtain better control performance, and improve the stability of the system and the efficiency of solving optimization problems. The simulation experiments verifies the effectiveness of the proposed algorithm.

Key words: LPV system, bounded interference, output feedback, LMI, robust asymptotic stability, MPC, off-line approach, robust predictive control

CLC Number:

TP301.6

WANG Ping,ZHAO Min. Improved Output Feedback Predictive Control for Perturbed LPV Systems[J].Electronic Science and Technology, 2023, 36(1): 81-87.

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References 18

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Improved Output Feedback Predictive Control for Perturbed LPV Systems

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