Variable structure control of electrohydraulic servo systems using fuzzy CMAC neural network

Jiang Zhiming, Shengwei Wang, Lin Tingqi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper presents a novel variable structure control (VSC) scheme based on the use of fuzzy cerebellar model articulation controller (FCMAC) for the control of electrohydraulic position servo systems. FCMAC is used to develop an adaptive equivalent control law by learning the uncertainties resulting from unmodelled dynamics and external disturbances. This feature makes it possible to use a small gain of the discontinuous control while satisfying the existence condition of the sliding mode in the presence of large uncertainties. As a result, the chattering is suppressed greatly, while the merits of the traditional VSC are maintained. The actual switching function is used to update the FCMAC weights and the existence of the sliding mode is proved. The simulations and experiments on a typical electrohydraulic position servo system are conducted to verify the effectiveness and robustness of the control scheme.
Original languageEnglish
Pages (from-to)185-201
Number of pages17
JournalTransactions of the Institute of Measurement & Control
Volume25
Issue number3
DOIs
Publication statusPublished - 1 Jan 2003

Keywords

  • adaptive equivalent control
  • CMAC neural network
  • electrohydraulic position servo system
  • fuzzy logic
  • variable structure control

ASJC Scopus subject areas

  • Instrumentation

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