东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (3): 322-326.DOI: -

• 论著 • 上一篇    下一篇

Hammerstein-Wiener非线性系统的模糊预测控制

李妍;毛志忠;王琰;袁平;   

  1. 东北大学信息科学与工程学院;辽阳市发展和改革委员会;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家高技术研究发展计划项目(2007AA041401,2007AA04Z194);;

Fuzzy predictive control of Hammerstein-Wiener nonlinear systems

Li, Yan (1); Mao, Zhi-Zhong (1); Wang, Yan (2); Yuan, Ping (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) Liaoyang Municipal Development and Reform Commission, Liaoyang 111000, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Li, Y.
  • About author:-
  • Supported by:
    -

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摘要： 针对输入和输出受约束的Hammerstein-Wiener型非线性系统,提出一种基于T-S模糊模型的非线性预测控制算法,并用Lyapunov函数分析系统稳定性.通过建立T-S模糊模型,将预测控制器设计中的非线性优化问题转化为相应的线性优化问题;通过离线设计状态反馈控制律,在线实施符合条件的反馈控制律,极大程度地提高了在线计算效率,仿真验证了该方法的有效性.

关键词: Hammerstein-Wiener非线性系统, T-S模糊模型, 预测控制, 线性矩阵不等式

Abstract: For Hammerstein-Wiener nonlinear systems with input and output constraints, a nonlinear predictive control algorithm based on T-S fuzzy model was proposed. A Lyapunov function is used to analyze system stability. By establishing the T-S fuzzy model, the nonlinear optimization problem in predictive control design is transformed into a corresponding linear optimization problem. By designing offline the state feedback control law and online implementation of the appropriate feedback control law, online computational efficiency is greatly improved. Simulation trials indicate the effectiveness of the proposed algorithm.

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