Research on load sensitive pressure control strategy of electro-hydraulic joint

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Peng, X.J.^1 ; Chen, G.Z.^1 ; Yin, F.^2 ; Bai, N.^1 ; Cui, S.X.^1 ; Tang, Y.J.^1

College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China^1

Library, Southwest Minzu University, Chengdu, China^2

关键词: Complex hydraulic system;    Electro-hydraulic system;    Electro-hydraulics;    RBF Neural Network;    Response properties;    Sliding mode variable structure control;    State;    space models;    Strong robustness;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062039/pdf
DOI  :  10.1088/1757-899X/392/6/062039

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this paper, the mathematical and the state space model of the electro-hydraulic joint load sensitive pressure system are established. Combined with the perfect performance on optimization of RBF neural network and sliding mode variable structure control algorithm in the complex hydraulic system, this paper proposes a RBF neural network adaptive sliding-mode control algorithm. This paper designs a controller with the electro-hydraulic proportional overflow valve as the control object. The simulation results show that the RBF neural network adaptive sliding-mode controller has the advantages of high control accuracy, excellent dynamic response property and strong robustness in the complex electro-hydraulic system.