Design of an EP-based fuzzy sliding-mode control for a magnetic ball suspension system

Tzuu Hseng S. Li, Chao Lin Kuo, Nai Ren Guo

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

In this paper, an evolutionary programming (EP) based fuzzy sliding-mode control (FSMC) is proposed for a magnetic ball suspension system. Firstly, we apply a singular perturbation method to examine a nonlinear model proposed for the magnetic ball suspension system. Secondly, we address design methods of sliding-mode control (SMC), FSMC, and dynamic FSMC. We utilize the EP to adjust scaling factors of the input and output variables for the FSMC. Global asymptotic stability of the EP-based FSMC is confirmed by the Lyapunov stability theory. Finally, simulations on the magnetic ball suspension system are given to show the tracking performances of the proposed control structure.

Original languageEnglish
Pages (from-to)1523-1531
Number of pages9
JournalChaos, solitons and fractals
Volume33
Issue number5
DOIs
Publication statusPublished - 2007 Aug

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • General Mathematics
  • General Physics and Astronomy
  • Applied Mathematics

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