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

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,...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-08, Vol.392 (6), p.62039
Main Authors: Peng, X J, Chen, G Z, Yin, F, Bai, N, Cui, S X, Tang, Y J
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive control
Control algorithms
Control systems design
Control theory
Controllers
Dynamic response
Hydraulic equipment
Hydraulics
Neural networks
Optimization
Robustness (mathematics)
Sliding mode control
State space models
Variable structure control
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Summary: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.
ISSN:1757-8981
1757-899X
1757-899X
DOI:10.1088/1757-899X/392/6/062039