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Chinese Journal of Engineering Design  2019, Vol. 26 Issue (5): 603-610    DOI: 10.3785/j.issn.1006-754X.2019.05.014
General Parts Design     
Displacement controller design for piston of hydro-viscous clutch based on RBF neural network
QIN Yong-feng, GONG Guo-fang, WANG Fei, SUN Chen-chen
State Key Lab of Fliud Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
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Abstract  The hydro-viscous clutch has relatively serious nonlinearity and lower control accuracy, which is difficult to meet the requirement of high transmission characteristics in the industrial field. Based on these issues, sliding mode control strategy of piston displacement based on RBF (radial basis function) neural network was proposed. The local structure of the hydro-viscous clutch was improved. The displacement sensor and the conductive slip ring were added to acquire the displacement signal. The mathematical models of the electro-hydraulic proportional relief valve and the hydro-viscous clutch were derived. The sliding mode controller based on RBF neural network of piston displacement of hydro-viscous clutch was designed and analyzed. An AMESim-MATLAB co-simulation model of hydro-viscous clutch was built. The simulation results showed that the sliding mode control of piston displacement based on RBF neural network (RBFSMC) could effectively cope with the serious nonlinearity of hydro-viscous clutch, and solved the chattering phenomenon of sliding mode control. The piston displacement controller can improve the control precision, make the controller of hydro-viscous clutch have good robustness and meet the high industrial demand.

Received: 22 May 2019      Published: 28 October 2019
CLC:  TH 133.4  
  TP 273  
Cite this article:

QIN Yong-feng, GONG Guo-fang, WANG Fei, SUN Chen-chen. Displacement controller design for piston of hydro-viscous clutch based on RBF neural network. Chinese Journal of Engineering Design, 2019, 26(5): 603-610.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2019.05.014     OR     https://www.zjujournals.com/gcsjxb/Y2019/V26/I5/603


基于RBF神经网络的液黏调速离合器活塞位移控制器设计

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