2006•Unpublished venueRequires access

Adaptive backstepping design for electro-hydraulic loading simulator

Zhang Wei, Mu Xu, Zhaohui Yuan, Kun Li

Abstract

An adaptive backstepping control method on electro-hydraulic loading simulator is investigated. For nonlinear math model of loading simulator, used backstepping method and designed GCMAC neural network to estimate the unknown uncertainties, acquired control Lyapunov functions(CLFs). Based on Lyapunov stability theory, designed robust adaptive controller and GCMAC neural network weights turn laws, which guarantees the output tracking error converging to zero while the system is stabilized. The simulation results illustrate that the effectiveness of the control method.

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Available abstract

Key concepts: Backstepping, Control theory (sociology), Lyapunov function, Lyapunov stability, Nonlinear system, Adaptive control, Computer science, Controller (irrigation)