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