Int. J. of Modelling, Identification and Control   »   2009 Vol.8, No.3

 

 

Title: Hardware-in-the-loop simulation of electro-hydraulic pressure servo system

 

Author: Junpeng Shao, Guihua Han, Zhongwen Wang, Wang Dong

 

Addresses:
Department of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang Province, China.
Department of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang Province, China.
Department of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang Province, China.
Department of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang Province, China

 

Abstract: In order to improve the rigidity performance of the hydrostatic thrust bearing, an electro-hydraulic pressure servo system is proposed to adjust oil film pressure in real-time. A rapid prototyping method is adopted to identify the model of the pressure servo system. A non-linear hybrid controller is applied, which is composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor and a fuzzy switching mode is employed to reject undesirable disturbances caused by the switchover between the two control methods. The identification model of the practical system and the feasibility of the control scheme are validated by hardware-in-the-loop simulation experiments. The experiments results show that the hybrid PID controller exhibits high bearing rigidity (the maximum overshoot is 0.07, while PID is 0.2), improves stability and rapidity when load changes. Further, the control performance can be enhanced through matching the load rigidity and mass reasonably; and it is feasible to apply electro-hydraulic pressure servo system to hydrostatic thrust bearing.

 

Keywords: hardware-in-the-loop; pressure servo systems; model identification; hybrid fuzzy PID; fuzzy control; electrohydraulics; rigidity performance; hydrostatic thrust bearings; rapid prototyping; nonlinear control; hybrid control.

 

DOI: 10.1504/IJMIC.2009.029263

 

Int. J. of Modelling, Identification and Control, 2009 Vol.8, No.3, pp.191 - 197

 

Available online: 17 Nov 2009

 

 

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