Adaptive Control for Hydraulic Servo Position System with Bounded Input

doi:10.16182/j.issn1004731x.joss.201703028

Abstract

Abstract: An adaptive state feedback controller based on neural network fitting was proposed for hydraulic servo position systems containing parameter uncertainties, external disturbance and bounded input problem. Taking the saturation characteristic into account sufficiently, the adaptive state feedback trajectory tracking controller was designed with an adaptive law to real-timely adjust the disturbance parameters and the bounded hyperbolic tangent functions to promise the bounded of the control law. Moreover, the complete stability and performance analysis were presented using Lyapunov theory. Simulation results show the effectiveness of the designed controller for the trajectory tracking in the present of actuators saturation.

Key words: hydraulic servo position system, adaptive state feedback control, bounded input, neural network

CLC Number:

TP273

Shi Jianfei, Yi Shujuan. Adaptive Control for Hydraulic Servo Position System with Bounded Input[J]. Journal of System Simulation, 2017, 29(3): 676-682.

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