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具有解耦性能的离散时间线性多变量系统最优跟踪控制

富月 陈威

富月, 陈威. 具有解耦性能的离散时间线性多变量系统最优跟踪控制. 自动化学报, 2022, 48(8): 1931−1939 doi: 10.16383/j.aas.c190748
引用本文: 富月, 陈威. 具有解耦性能的离散时间线性多变量系统最优跟踪控制. 自动化学报, 2022, 48(8): 1931−1939 doi: 10.16383/j.aas.c190748
Fu Yue, Chen Wei. Optimal tracking control method for discrete-time linear multivariable systems with decoupling performance. Acta Automatica Sinica, 2022, 48(8): 1931−1939 doi: 10.16383/j.aas.c190748
Citation: Fu Yue, Chen Wei. Optimal tracking control method for discrete-time linear multivariable systems with decoupling performance. Acta Automatica Sinica, 2022, 48(8): 1931−1939 doi: 10.16383/j.aas.c190748

具有解耦性能的离散时间线性多变量系统最优跟踪控制

doi: 10.16383/j.aas.c190748
基金项目: 国家自然科学基金(61991403, 61991400)和辽宁省教育厅创新人才项目(ZX20200070)资助
详细信息
    作者简介:

    富月:东北大学流程工业综合自动化国家重点实验室副教授. 2009年获得东北大学控制理论与控制工程专业博士学位. 主要研究方向为复杂工业过程自适应控制, 智能解耦控制, 近似动态规划以及工业过程运行控制. 本文通信作者.E-mail: fuyue@mail.neu.edu.cn

    陈威:天辰工程有限公司工程师. 分别于2018 年获得河北工业大学学士学位, 2021年获得东北大学硕士学位. 主要研究方向为解耦控制和最优控制.E-mail: chenwei0323@126.com

Optimal Tracking Control Method for Discrete-time Linear Multivariable Systems With Decoupling Performance

Funds: Supported by National Natural Science Foundation of China (61991403, 61991400) and Innovative Talent Project of Liaoning Education Committee (ZX20200070)
More Information
    Author Bio:

    FU Yue Associate professor at the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. She received her Ph.D. degree from Northeastern University in 2009. Her research interest covers adaptive control, intelligent decoupling control, approximate dynamic programming, and industrial operational control. Corresponding author of this paper

    CHEN Wei Engineer at Tianchen Corporation. He received his bachelor degree from Hebei University of Technology in 2018 and received his master degree from Northeastern University in 2021. His research interest covers decoupling control and optimal control

  • 摘要: 在传统线性二次跟踪控制方法的基础上, 针对一类具有强耦合特性的离散时间线性多变量系统, 提出了一种具有解耦性能的最优跟踪控制方法. 首先为实现解耦, 将耦合项作为可测干扰, 基于零和博弈思想提出了一种新的性能指标; 然后针对该性能指标, 利用极小值原理设计最优跟踪控制器, 通过适当加权矩阵的选择, 同步实现解耦和跟踪; 最后进行仿真实验, 仿真结果表明了该方法的有效性以及在最优性能等方面的优越性.
  • 图  1  本文所提方法系统状态输出

    Fig.  1  Output curves by using the method proposed in this paper

    图  2  本文所提方法控制输入

    Fig.  2  Input curves by using the method proposed in this paper

    图  3  传统LQT方法系统状态输出

    Fig.  3  Output curves by using the conventional LQT method

    图  4  传统LQT方法控制输入

    Fig.  4  Input curves by using the conventional LQT method

    图  5  传统LQT方法系统状态输出

    Fig.  5  Output curves by using the conventional LQT method

    图  6  传统LQT方法控制输入

    Fig.  6  Input curves by using the conventional LQT method

    图  7  第1组参数下, 2种策略的最优性能比较

    Fig.  7  Comparison of the performance under the first set of parameters

    图  8  第2组参数下, 2种策略的最优性能比较

    Fig.  8  Comparison of the performance under the second set of parameters

    A1  基于神经网络补偿的不确定性系统状态跟踪曲线

    A1  Tracking curve of uncertain system based on neural network compensation

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出版历程
  • 收稿日期:  2019-10-29
  • 录用日期:  2020-03-11
  • 网络出版日期:  2022-07-12
  • 刊出日期:  2022-06-01

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