An improved compact form model free adaptive control method

被引:0
|
作者
Pang, Zhong-Hua [1 ]
Ma, Biao [1 ]
Song, Wen-Tai [2 ]
Liu, Guo-Ping [3 ]
机构
[1] Beijing Key Laboratory of FTA, North China University of Technology, Beijing,100144, China
[2] Institute of Safety Control Technology, CRSC Research & Design Institute Group Co., Ltd., Beijing,100070, China
[3] School of Electrical Engineering and Automation, Wuhan University, Wuhan,430072, China
来源
Kongzhi yu Juece/Control and Decision | 2021年 / 36卷 / 02期
关键词
Adaptive control systems;
D O I
10.13195/j.kzyjc.2019.0635
中图分类号
学科分类号
摘要
An improved compact format model free adaptive control (iCF-MFAC) method based on an equivalent dynamic linearization technique is proposed for a class of discrete-time nonlinear systems described by a general nonlinear function. The adaptive control law of the iCF-MFAC method consists of two parts: A time-varying proportional control term and a time-varying integral control term. Compared with the corresponding original CF-MFAC method with only a time-varying integral term, the iCF-MFAC method is not only more universal and flexible, but also can provide a better dynamical control performance. In addition, the comparison is also made between the iCF-MFAC method and an MFAC method that has a similar controller structure and is based on a full format dynamic linearization data model. With the same controller parameters, the iCF-MFAC can yield a faster output response. Then, the convergence and stability of the resulting closed-loop iCF-MFAC system are proved through rigorous analysis. Both numerical simulations and practical experiments are carried out to demonstrate the effectiveness and feasibility of the proposed method. Copyright ©2021 Control and Decision.
引用
收藏
页码:436 / 442
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