计算机应用 ›› 2013, Vol. 33 ›› Issue (01): 222-225.DOI: 10.3724/SP.J.1087.2013.00222

• 先进计算 • 上一篇    下一篇

自适应时变Terminal滑模控制研究

黄国勇1*,胡吉晨1,吴建德1,2,范玉刚1,王晓东1,2   

  1. 1. 昆明理工大学 信息工程与自动化学院, 昆明 650504
    2. 云南省矿物管道输送工程技术研究中心, 昆明 650500
  • 收稿日期:2012-07-05 修回日期:2012-08-09 出版日期:2013-01-01 发布日期:2013-01-09
  • 通讯作者: 黄国勇
  • 作者简介:黄国勇(1977-),男,湖北天门人,副教授,博士,主要研究方向:模糊控制、滑模控制;胡吉晨(1988-),男,安徽马鞍山人,硕士研究生,主要研究方向:故障诊断、机器学习;吴建德(1979-),男,云南保山人,教授,博士,主要研究方向:智能控制、机器学习。
  • 基金资助:

    国家自然科学基金资助项目(51169007);云南省科技计划项目(2010DH004, 2011DA005);云南省中青年学术和技术带头人后备人才培养计划项目(2011CI017)

Research on adaptive time-varying terminal sliding mode control

HUANG Guoyong1*,HU Jichen1,WU Jiande1,2,FAN Yugang1,WANG Xiaodong1,2   

  1. 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming Yunnan 650504, China
    2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming Yunnan 650504, China
  • Received:2012-07-05 Revised:2012-08-09 Online:2013-01-01 Published:2013-01-09
  • Contact: HUANG Guoyong

摘要: 针对Terminal滑模控制到达阶段鲁棒性不强的问题,提出了时变Terminal滑模控制方法。分析Terminal滑模面的设计参数对系统性能的影响,提出一种非线性时变Terminal滑模面的设计方法。为了消除多输入多输出(MIMO)非线性系统的不确定,构建动态干扰观测器系统,根据干扰观测误差在线调节参数,从而在线逼近外部干扰,证明了逼近误差一致最终有界。采用倒立摆系统进行仿真验证,提出的自适应时变Terminal滑模控制方法比传统的PID控制镇定时间缩短80%,且无超调。仿真结果表明,所提方法可以用于MIMO非线性系统的控制。

关键词: 时变滑模面, 干扰观测系统, Terminal滑模控制, 有限时间内收敛

Abstract: To resolve the problem of poor robustness when reaching the Terminal sliding mode control, a time-varying sliding mode control method was proposed. A nonlinear time-varying sliding mode surface was designed after analyzing the influences of designed parameters of sliding mode surface to the performances of system. To deal with the disturbances of a class of Multi-Input Multi-Output (MIMO) nonlinear system, a disturbance observer system was constructed. According to the disturbance observer system, the external disturbances were approached on-line by adjusting the weights. The simulation results show that, the settle-time of the proposed scheme is less than that of PID control by 80%. The proposed method has no overshoots. The simulation results demonstrate that the proposed design can be used on the control of MIMO nonlinear system.

Key words: time-varying sliding mode surface, disturbance observer system, Terminal sliding mode control, finite-time convergence

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