Design and implementation of fuzzy sliding-mode controller for a wedge balancing system

Jeng Hann Li, Tzuu-Hseng S. Li, Ting Han Ou

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

In this paper, we address the design and implementation of fuzzy sliding-mode controller for balancing a wedge system. At first, we examine the mathematical model of the wedge balancing system. The dynamic system is complex and ill defined; hence we propose the fuzzy sliding-mode control (FSMC) method to achieve the control objective. The proposed control method enhances the ability of fuzzy logic control so that the minimal number of fuzzy inference rules is systematically obtained even the plant parameters are unknown. Both computer simulations and real-time experiments are exploited to demonstrate the validity and feasibility of the developed control scheme.

Original languageEnglish
Pages (from-to)285-306
Number of pages22
JournalJournal of Intelligent and Robotic Systems: Theory and Applications
Volume37
Issue number3
DOIs
Publication statusPublished - 2003 Jul 1

Fingerprint

Controllers
Fuzzy inference
Sliding mode control
Fuzzy control
Fuzzy logic
Dynamical systems
Mathematical models
Computer simulation
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

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Design and implementation of fuzzy sliding-mode controller for a wedge balancing system. / Li, Jeng Hann; Li, Tzuu-Hseng S.; Ou, Ting Han.

In: Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 37, No. 3, 01.07.2003, p. 285-306.

Research output: Contribution to journalArticle

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