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扰动抑制无模型自适应控制的鲁棒性分析
引用本文:卜旭辉,侯忠生,金尚泰. 扰动抑制无模型自适应控制的鲁棒性分析[J]. 控制理论与应用, 2011, 28(3): 358-362
作者姓名:卜旭辉  侯忠生  金尚泰
作者单位:北京交通大学,先进控制系统研究所,电子信息工程学院,北京,100044
基金项目:国家自然科学基金重点资助项目(60834001); 国家自然科学基金资助项目(60774022).
摘    要:针对一类存在测量扰动的SISO非线性离散时间系统,研究无模型自适应控制算法的扰动作用问题.首先给出了系统输出误差与测量扰动的关系,分析了测量扰动对控制性能的影响.然后提出了一种带有滤波器的改进无模型自适应控制算法,该算法较常规无模型自适应控制算法可有效抑制测量扰动的作用.仿真结果验证了理论分析的正确性.

关 键 词:无模型自适应控制  测量扰动  滤波算法  鲁棒性
收稿时间:2009-09-08
修稿时间:2010-04-27

The robustness of model-free adaptive control with disturbance suppression
BU Xu-hui,HOU Zhong-sheng and JIN Shang-tai. The robustness of model-free adaptive control with disturbance suppression[J]. Control Theory & Applications, 2011, 28(3): 358-362
Authors:BU Xu-hui  HOU Zhong-sheng  JIN Shang-tai
Affiliation:Advanced Control Systems Lab; School of Electronics and Information Engineering, Beijing Jiaotong University,Advanced Control Systems Lab; School of Electronics and Information Engineering, Beijing Jiaotong University,Advanced Control Systems Lab; School of Electronics and Information Engineering, Beijing Jiaotong University
Abstract:Abstract: For a class of single-input single-output(SISO) nonlinear discrete-time systems, the measurement disturbance impacts to a model-free adaptive control are considered. The relationship between the output error and the measurement disturbance are given, and the influence of the measurement disturbance is also analyzed. Then, an improved model-free adaptive control algorithm with a filter is proposed, which suppresses the measurement disturbance effectively. The analysisis supported by simulations.
Keywords:model-free adaptive control   measurement disturbance   filtering algorithm   robustness
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