Application of Adaptive RBF-SMC for Electro-Hydraulic Position Servo System

Wu Wang; Zheng Yin Zhao

doi:10.4028/www.scientific.net/AMR.463-464.1440

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 463-464Application of Adaptive RBF-SMC for...

Application of Adaptive RBF-SMC for Electro-Hydraulic Position Servo System

Abstract:

Electro-hydraulic servo system was hard to control with traditional control strategy and RBF-SMC (Radial Basis Function neural networks-Sliding Mode Control) controller was designed for this system. The mathematical model of the electro-hydraulic servo system was analyzed and the neural sliding mode controller was designed, the control law of sliding mode control was based on linearization feedback techniques and estimate parameters with RBF neural network. The simulation shows RBF neural networks can learning the uncertainties and disturbance, RBF-SMC has good control performance of reduces chattering and parameters estimation.

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Periodical:

Advanced Materials Research (Volumes 463-464)

Pages:

1440-1444

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.463-464.1440

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Online since:

February 2012

Authors:

Wu Wang, Zheng Yin Zhao

Keywords:

Electro-Hydraulic Position Servo System, Linearization Feedback, Neural Sliding Mode Control, Simulation

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