DocumentCode :
2857877
Title :
Study on Simulation of Cold-Rolling Fuzzy PID Control Technology
Author :
Du Tai-Hang ; Qing, Miao ; Jin-wei, Wang ; Yong-sheng, Chen
Author_Institution :
Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
1-3 Nov. 2009
Firstpage :
50
Lastpage :
53
Abstract :
Using of the electric motor control system and the principle of rolling plastic deformation, this paper describes the stable state mathematical model of cold rolling process is established. The dynamic process of cold rolling is simulated by using the MATLAB/ Simulink. Cold rolling control system exists time-delay, time-varying, large inertia, nonlinear and other problems. Setting parameters of traditional PID controller is difficult. This paper put forward a method which combines structure of a fuzzy control and PID control. By MATLAB simulating, results show that static and dynamic performance of fuzzy adaptive PID controller is better than the traditional PID controller.
Keywords :
adaptive control; cold rolling; control engineering computing; delays; electric motors; fuzzy control; machine control; nonlinear control systems; plastic deformation; time-varying systems; MATLAB-Simulink; adaptive controller; cold-rolling fuzzy PID control technology; electric motor control system; nonlinear control system; rolling plastic deformation; state mathematical model; time-delay; time-varying system; Control system synthesis; Control systems; Electric motors; Fuzzy control; MATLAB; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Plastics; Three-term control; MATLAB simulation; cold-rolling mill system; fuzzy PID; mathematic mode;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
Type :
conf
DOI :
10.1109/ICINIS.2009.22
Filename :
5365824
Link To Document :
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