Sliding Mode Control Based on RBF Network for Hydraulic Pressure in Electric Power-assisted Brake System

doi:10.3901/JME.2020.24.106

Abstract

Abstract: To solve the problem of nonlinearity and inconsistency of hydraulic brake system in the pressure control of automobile electric booster(EBooster) braking system, a sliding mode variable structure control method based on radial based function(RBF) neural network is proposed. The pressure control architecture of EBooster is designed and a simplified equivalent structure model of hydraulic braking system is established. Then the hydraulic pressure sliding mode control method based on RBF network is designed. The sliding mode control parameters of the system are adaptively adjusted by designing the adaptive law of RBF network. The stability of the algorithm is analyzed by Lyapunov function. Finally, the rapid control prototyping(RCP) experiment platform of electric power-assisted brake system is built and the algorithm is verified by RCP test. The experimental results show that the control strategy of the sliding mode control method based on RBF network has a good performance with a control error no larger than 2%. A design method of adaptive pressure control algorithm is provided for the EBooster system.

Key words: electric power-assisted brake system, hydraulic pressure control, RBF based sliding mode control, rapid control prototyping (RCP)

CLC Number:

U463

ZHAO Jian, DENG Zhihui, ZHU Bing, CHANG Tingting, CHEN Zhicheng. Sliding Mode Control Based on RBF Network for Hydraulic Pressure in Electric Power-assisted Brake System[J]. Journal of Mechanical Engineering, 2020, 56(24): 106-114.

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