Fuzzy control design for the trajectory tracking on uncertain nonlinear systems

Wen June Wang, Hwan Rong Lin

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

Based on the concept of sliding-mode control (SMC), this paper designs fuzzy logic controls to achieve the prespecified trajectory tracking for an uncertain nonlinear system. The prespecifled trajectory is composed of several nonisoclinal segments in phase plane and is regarded as the piecewise sliding surface. First, let the uncertain system be approximated by a linguistic fuzzy rule base, then two fuzzy logic controllers are designed to achieve the hitting motion and preserve the system's state traveling on the prespecified trajectory. The main advantage of this control design is that the trial and error of the conventional fuzzy control design disappears. A practical example is given to illustrate the applicability of the algorithm.

Original languageEnglish
Pages (from-to)53-62
Number of pages10
JournalIEEE Transactions on Fuzzy Systems
Volume7
Issue number1
DOIs
StatePublished - 1999

Keywords

  • Approximation methods
  • Fuzzy control
  • Sliding-mode control

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