Title :
Fuzzy Logic Based Thickness Control System and Its Simulation
Author :
Xu, Xing-Yuan ; Bu, Zhan-Wei ; Cai, Yuan-Li ; Xu, Xiao-Yan
Author_Institution :
Dept. of Autom. Control, Xi´´an Jiao Tong Univ., Xi´´an, China
Abstract :
In general, the rolling mill uses PID method to control the plate thickness. Performance of the PID controller relies on the plant model, however it is difficult to establish the precise model of hydraulic servo system due to its uncertainties. Fuzzy control does not need the precise model, so a fuzzy PID controller is designed. In this paper, a mathematical model of the rolling mill in ideal circumstance is derived, and then the fuzzy PID controller is presented and extensively evaluated by model-based simulation. The influences of parameters perturbation and external disturbances were taken into account. Simulation results show that the anti-interference capability and robustness of the fuzzy PID controller are much better than the traditional PID scheme.
Keywords :
control system synthesis; fuzzy control; rolling mills; thickness control; three-term control; antiinterference capability; external disturbance; fuzzy PID controller; fuzzy logic; hydraulic servo system; model-based simulation; parameter perturbation; plate thickness control; rolling mill; Automatic control; Fuzzy control; Fuzzy logic; Milling machines; Position control; Servomechanisms; Thickness control; Three-term control; Uncertainty; Valves;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.612