上海交通大学学报(自然版) ›› 2011, Vol. 45 ›› Issue (03): 403-407.

• 自动化技术、计算机技术 • 上一篇    下一篇

基于多模型在线辨识的滑模变结构控制

 段朝阳, 张艳, 邵雷, 雷虎民, 陈宗基   

  1. (1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191;2. 空军工程大学 导弹学院, 陕西 三原 713800)
  • 出版日期:2011-03-30 发布日期:2011-03-30
  • 基金资助:

    2008年度航空科学基金资助项目(2008ZA12001)

Sliding Mode Variable Structure Control Based
 on Multimodel Online Identification

 DUAN  Chao-Yang, ZHANG  Yan, SHAO  Lei, LEI  Hu-Min, CHEN  Zong-Ji   

  1. (1. Department of Automatic and Electrical Engineering, Beihang University, Beijing 100191, China;2. The Missile Institute, Air Force Engineering University, Sanyuan 713800, Shanxi, China)
  • Online:2011-03-30 Published:2011-03-30

摘要: 为了改善复杂非线性系统中传统滑模变结构控制系统的控制效果,提出了一种将多模型在线建模与滑模变结构控制结合的方案.首先,根据输入输出数据利用在线数据聚类的方法建立多个局部模型,实时对局部模型进行更新,并通过加权综合获得非线性系统的在线辨识模型;然后,针对系统的辨识模型设计基于趋近律的滑模变结构控制器.仿真结果表明,控制方案对系统模型的不确定性具有良好的鲁棒性.

关键词: 变结构控制, 在线辨识, 多模型, 非线性系统

Abstract:  In order to improve the control effect of traditional sliding mode variable structure control system for nonlinear uncertain systems, a new control scheme was proposed, which combines the multimodel online identification with sliding mode variable structure. Firstly, based on the inputoutput data, multiple local models was constructed by online clustering, and the local models are updated. Then, the model of the nonlinear system is given by the combination of all weighted local models. Finally, a sliding mode controller based on reaching law is designed according to the online indentificated system model. The simulation results show the robustness of the proposed scheme to the uncertainty of system model.

Key words: variable structure control, online identification, multimodel, nonlinear system

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