广东工业大学学报 ›› 2012, Vol. 29 ›› Issue (4): 77-81.doi: 10.3969/j.issn.1007-7162.2012.04.016

• 综合研究 • 上一篇    下一篇

基于自适应模糊逻辑系统的一类非线性系统跟踪控制设计

高子林,王银河,石炳杰   

  1. 广东工业大学 自动化学院，广东 广州 510006
  • 收稿日期:2012-05-24 出版日期:2012-12-25 发布日期:2012-12-25
  • 作者简介:高子林(1986-),男,硕士,主要研究方向为非线性模糊控制.
  • 基金资助:

    广东省自然科学基金资助项目(8151009001000061);广东省自然科学基金团队资助项目(8351009001000002)

Design of Tracking Control for a Class of Nonlinear Systems Based on Adaptive Fuzzy Logic Systems

Gao Zi-lin, Wang Yin-he, Shi Bing-jie   

  1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2012-05-24 Online:2012-12-25 Published:2012-12-25

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摘要： 针对一类未知的非线性系统, 基于模糊逼近原理, 进行了基于自适应模糊逻辑系统的跟踪控制器的设计, 实现了该非线性系统对给定信号的跟踪. 首先, 通过对该非线性系统中未知函数的输入输出进行采样, 根据采样数据信息设计出具有参数自适应功能的Mamdani型模糊逻辑系统. 然后将设计好的自适应模糊逻辑系统引入到某些模糊控制器中, 得到了模糊跟踪控制器. 最后所给数值仿真算例说明了该方法的有效性.

关键词: 非线性系统;自适应模糊逻辑系统;模糊控制

Abstract: For a class of uncertain nonlinear systems, based on the universal approximation property of fuzzy logic systems, a tracking controller was designed to track a given sign in the nonlinear system, based on the adaptive fuzzy logic system. First, the Mamdani type fuzzy logic system with the parameter adaptive laws was designed by utilizing the data information sampled from the input and output of unknown functions in the nonlinear system. Then this fuzzy logic system was introduced into a kind of controller to get a fuzzy tracking controller. Finally, it was simulated. The simulation shows the validity of the method.

Key words: nonlinear systems; adaptive fuzzy logic systems; fuzzy control

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