Fuzzy sliding mode control design for a class of nonlinear systems with structured and unstructured uncertainties

Mohammad Reza Soltanpour, Behrouz Zolfaghari, Mahmoodreza Soltani, Mohammad Hassan Khooban

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

This paper presents controlling of a class of nonlinear systems with structured and unstructured uncertainties using fuzzy sliding mode control. First known dynamics of the system are eliminated through feedback linearization and then fuzzy sliding mode controller is designed using TS method, based on the Lyapunov method, which is capable of handling uncertainties. There are no signs of the undesired chattering phenomenon in the proposed method. The globally asymptotic stability of the closed-loop system is mathematically proved. Finally, this method of control is applied to the inverted pendulum system as a case study. Simulation results show the system performance is desirable.

Original languageEnglish
Pages (from-to)2713-2726
Number of pages14
JournalInternational Journal of Innovative Computing, Information and Control
Volume9
Issue number7
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Fuzzy
  • Nonlinear systems
  • Sliding mode control
  • Structure uncertainties
  • Unstructured uncertainties

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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