Sliding modes robust control for electrohydraulic servo system

Zhaohui Yuan, Ming Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This document explains the uncertain-nonlinear-system'control problem. I present a robust adaptive sliding mode control, combing the Backstepping algorithm with sliding mode control. Design sliding mode control recursive rules, and then get the virtual control value. By the time, CMAC neural network learns system' uncertainty as well as the derivative information of each order virtual control value Real-time. The conventional sliding mode control easily leads to chattering as the result of using sign function as switching function. So, we use hyperbolic tangent function instead of sign function as sliding mode switching function, to avoid the possible chattering problem owing to discontinuous terms. Finally, the proposed control algorithm is verified by simulation, within the mathematical model of electric hydraulic servo system.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013 - Kunming, Yunnan, China
Duration: 5 Aug 20138 Aug 2013

Publication series

Name2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

Conference

Conference2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Country/TerritoryChina
CityKunming, Yunnan
Period5/08/138/08/13

Keywords

  • CMAC neural network
  • Nonlinear system
  • Sliding mode

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