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一类不确定离散时间系统有限次迭代学习误差跟踪控制

陈强 葛之琳 成云 王守勤 何熊熊

陈强, 葛之琳, 成云, 王守勤, 何熊熊. 一类不确定离散时间系统有限次迭代学习误差跟踪控制. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250383
引用本文: 陈强, 葛之琳, 成云, 王守勤, 何熊熊. 一类不确定离散时间系统有限次迭代学习误差跟踪控制. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250383
Chen Qiang, Ge Zhi-Lin, Cheng Yun, Wang Shou-Qin, He Xiong-Xiong. Finite-iteration learning error-tracking control for a class of uncertain discrete-time systems. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250383
Citation: Chen Qiang, Ge Zhi-Lin, Cheng Yun, Wang Shou-Qin, He Xiong-Xiong. Finite-iteration learning error-tracking control for a class of uncertain discrete-time systems. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250383

一类不确定离散时间系统有限次迭代学习误差跟踪控制

doi: 10.16383/j.aas.c250383 cstr: 32138.14.j.aas.c250383
基金项目: 国家自然科学基金 (U25A20452, 62222315, 62233016), 浙江省自然科学基金重点项目 (LZ26F030004), 浙江省属高校基本科研业务费专业资金 (RF-C2024001), 浙江省博士后科研项目择优 (ZJ2024063)资助
详细信息
    作者简介:

    陈强:浙江工业大学信息工程学院教授. 主要研究方向为自适应控制与学习控制. E-mail: sdnjchq@zjut.edu.cn

    葛之琳:浙江工业大学信息工程学院硕士研究生. 主要研究方向为自适应控制与学习控制. E-mail: 15358927785@163.com

    成云:浙江工业大学信息工程学院博士后. 主要研究方向为无模型自适应控制和自抗扰控制. E-mail: yuncheng5@zjut.edu.cn

    王守勤:浙江工业大学信息工程学院博士研究生. 主要研究方向为自适应控制与学习控制. E-mail: w2609881675@163.com

    何熊熊:浙江工业大学信息工程学院教授. 主要研究方向为迭代学习控制, 智能控制及其在多智能体系统和传感器网络中的应用. 本文通讯作者. E-mail: hxx@zjut.edu.cn

Finite-Iteration Learning Error-Tracking Control for a Class of Uncertain Discrete-Time Systems

Funds: Supported by National Natural Science Foundation of China (U25A20452, 62222315, 62233016), Zhejiang Provincial Natural Science Foundation of China (LZ26F030004), Fundamental Research Funds For the Provincial Universities of Zhejiang (RF-C2024001), and Zhejiang Postdoctoral Research Project Optimal Foundation of China (ZJ2024063)
More Information
    Author Bio:

    CHEN Qiang Professor at the College of Information Engineering, Zhejiang University of Technology. His research interest covers adaptive control and learning control

    GE Zhi-Lin Master student at the College of Information Engineering, Zhejiang University of Technology. Her research interest covers adaptive control and learning control

    CHENG Yun Research Fellow at the College of Information Engineering, Zhejiang University of Technology. His research interest covers model-free adaptive control and active disturbance rejection control

    WANG Shou-Qin ph.D. candidate at the College of Information Engineering, Zhejiang University of Technology. Her research interest covers adaptive control and learning control

    HE Xiong-Xiong Professor at the College of Information Engineering, Zhejiang University of Technology. His research interest covers iterative learning control, intelligent control and its applications in multi-agent systems and sensor networks. Corresponding author of this paper

  • 摘要: 本文针对一类在有限时间内执行重复任务的不确定离散时间系统轨迹跟踪问题, 提出一种有限次迭代学习误差跟踪控制方法. 首先, 构造不依赖于参考轨迹的期望误差轨迹, 放宽传统迭代学习控制中的初值一致条件, 且离散形式的期望误差轨迹设计仅需已知每次迭代的误差初值, 简化设计要求. 其次, 通过在迭代轴上构建饱和迭代吸引律, 设计带有干扰补偿的迭代学习控制器, 并推导出跟踪误差的稳态误差带和满足精度要求所需的最大迭代次数表达式, 根据期望精度选择控制器参数, 在参数设计阶段保证系统鲁棒性, 实现跟踪误差有限次迭代收敛. 最后, 通过数值仿真和实验结果验证所提控制方法的有效性.
  • 图  1  期望误差轨迹

    Fig.  1  Expected error trajectory

    图  2  不同初始状态下输出角速度$y_{15} $和参考角速度$y_{r} $

    Fig.  2  Output angular velocity $y_{15} $ and reference angular velocity $y_{r} $ under different initial conditions

    图  3  不同初始状态下误差轨迹$e_{15} $和期望误差轨迹$ e_{15}^{\ast }$

    Fig.  3  Error trajectory $e_{15} $ and desired error trajectory $e_{15}^{\ast } $ under different initial conditions

    图  4  输出跟踪$y_k $性能对比

    Fig.  4  Comparison of output tracking $y_k $ performance

    图  5  期望误差轨迹$e_{k}^{\ast } $和跟踪误差$e_{k} $

    Fig.  5  Expected error trajectory $e_{k}^{\ast } $ and tracking error $e_{k} $

    图  6  性能指标

    Fig.  6  Performance index

    图  7  输出跟踪$ y_k$、误差跟踪$e_{k} $和性能指标

    Fig.  7  Output tracking $ y_k$, error tracking $e_{k} $ and performance index

    图  8  实验平台

    Fig.  8  Experimental platform

    图  9  控制方案流程图

    Fig.  9  Control scheme flowchart

    图  10  轨迹跟踪

    Fig.  10  Trajectory tracking

    图  13  性能指标

    Fig.  13  Performance index

    图  12  控制输入

    Fig.  12  Control input

    图  11  误差跟踪

    Fig.  11  Error tracking

    表  1  永磁同步电机参数

    Table  1  Permanent magnet synchronous motor parameters

    物理量参数
    惯性系数$ J/({\rm{kg}}\cdot {\rm{m}}^{2}) $0.0275
    负载转矩$ T_{L}/({\rm{N}}\cdot {\rm{m}}) $$ 0.5\sin x_{1} $
    磁通$ \psi _{f} /{\rm{Wb}} $0.109
    极对数$ n_{p} $4
    摩擦系数$ B / ({\rm{Nm/rad/s}}) $0.0012
    下载: 导出CSV
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  • 收稿日期:  2025-08-11
  • 录用日期:  2025-12-31
  • 网络出版日期:  2026-03-19

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