Self-tuning sliding mode controller design for a class of nonlinear control systems

Yao Chu Hsueh, Shun Feng Su, Wen June Wang

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

In this study, an idea to the self-tuning sliding mode controller design is proposed. The proposed controller not only reduces the chatting phenomenon, but also needs less the system bounds than traditional sliding mode controllers do. The proposed self-tuning sliding mode controller can be viewed as an improved hitting controller. Besides, in order to resolve the parameter selection problem, the Lyapunov stability theory is considered and a self-tuning machine is employed to reduce the conjecture of parameter selection. Finally, the proposed controller is employed to control a two-link robot arm, which is a class of MEMO nonlinear control system. The result is promising.

Original languageEnglish
Article number4811642
Pages (from-to)2337-2342
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 12 Oct 200815 Oct 2008

Keywords

  • Adaptive control)
  • Sliding mode control

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