电子科技 ›› 2023, Vol. 36 ›› Issue (1): 81-87.doi: 10.16180/j.cnki.issn1007-7820.2023.01.012

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改进的扰动LPV系统输出反馈预测控制

王平,赵敏   

  1. 上海理工大学 光电信息与计算机工程学院,上海 200093
  • 收稿日期:2022-07-08 出版日期:2023-01-15 发布日期:2023-01-17
  • 作者简介:王平(1997-),女,硕士研究生。研究方向:非线性系统、系统鲁棒预测控制等方面。|赵敏(1979-),女,博士,讲师。研究方向:最优化控制、非线性系统、系统鲁棒预测控制等。
  • 基金资助:
    国家自然科学基金(61973219)

Improved Output Feedback Predictive Control for Perturbed LPV Systems

WANG Ping,ZHAO Min   

  1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2022-07-08 Online:2023-01-15 Published:2023-01-17
  • Supported by:
    National Natural Science Foundation of China(61973219)

摘要:

针对一类带有有界状态干扰的多胞描述LPV系统,文中提出了一种鲁棒预测控制改进方法,并设计了保证系统渐近稳定的输出反馈控制器。为抵消有界状态干扰,该控制器考虑无扰动LPV系统,基于离线状态观测器,采用线性矩阵不等式求解预测控制无穷时域最小-最大优化问题。随后利用离线状态观测器获得扰动LPV系统与无扰动LPV系统状态的估计值之差,以确定保性能的反馈增益,从而得到使扰动LPV系统渐近稳定的最优偏移量,并将其与无扰动系统控制律组合作为最优控制律施加于实际系统。实验结果表明,运用改进的鲁棒预测控制方法能获得较好地控制性能,同时提高了系统的稳定性和解决优化问题的效率,仿真试验也验证了该算法的有效性。

关键词: LPV系统, 有界干扰, 输出反馈, LMI, 渐近稳定性, MPC, 离线方法, 鲁棒预测控制

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

中图分类号: 

  • TP301.6