DocumentCode :
2876950
Title :
The application of fuzzy control strategy in electro-hydraulic servo system
Author :
Shao, Junpeng ; Chen, Lihua ; Ji, Yajuan ; Sun, Zhibin
Author_Institution :
Dept. of Mech. Power Eng., Univ. of Sci. & Technol., Harbin, China
Volume :
1
fYear :
2005
fDate :
12-14 Oct. 2005
Firstpage :
165
Lastpage :
170
Abstract :
This paper presents a fuzzy tracking control methodology for electro-hydraulic servo system from the viewpoint of industrial application and implementation. Since the hydraulic control systems always have the high nonlinearity and uncertain dynamics, the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. And many conventional control methods based on mathematical models are limited in their abilities to improve the tracking performance. The solution in this study is to develop a new nonlinear hybrid controller composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor, which greatly improves the robustness, the dynamic and static properties of the system. Additionally, the fuzzy switching mode is employed to avoid the undesirable disturbances caused by the switchover between the two control methods. The proposed fuzzy controller shows excellent robustness against variations of system parameters and external disturbances through a series of simulation studies. Finally, by experiments on a practical electro-hydraulic servo test bench, the effectiveness of this control scheme is verified by comparison with the classical PID or fixed fuzzy controller. The research results show that the hybrid fuzzy PID controller has good performance in real time application.
Keywords :
electrohydraulic control equipment; fuzzy control; nonlinear control systems; self-adjusting systems; servomechanisms; three-term control; time-varying systems; PID controller; electro-hydraulic servo system; fuzzy control strategy; fuzzy switching mode; nonlinear hybrid controller; self-adjusting modifying factor; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy systems; Industrial control; Nonlinear control systems; Nonlinear dynamical systems; Robust control; Servomechanisms; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9538-7
Type :
conf
DOI :
10.1109/ISCIT.2005.1566823
Filename :
1566823
Link To Document :
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