Title :
Research on the Parameters Self-Tuning Fuzzy PID Controller
Author :
Zhang, Yanhong ; Zheng, Zhongqiao ; Zhang, Jiansheng
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Changzhou Inst. of Technol., Changzhou, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
At present, PID controller is widely used, but when the controlled object is more complex, the control effect of the general PID controller is worse, in order to improve the control performance of complex systems, a new approach to design fuzzy PID controller is introduced in the paper. In order to improve the accuracy of control, the fuzzy adaptive PID controller is further advanced in the paper, the proportional coefficient, integral coefficient and differential coefficient can be adjusted online according to the fuzzy inference rules. The simulation results show that the system dynamic and static characteristics can be improved and the better performance can be gained by the method.
Keywords :
adaptive control; fuzzy control; large-scale systems; self-adjusting systems; three-term control; complex systems; differential coefficient; fuzzy adaptive PID controller; fuzzy inference rules; integral coefficient; proportional coefficient; self-tuning fuzzy PID controller; Control systems; Digital control; Error correction; Fuzzy control; Fuzzy set theory; Fuzzy systems; Knowledge acquisition; Pi control; Proportional control; Three-term control; PID control; Simulation; fuzzy logic control; membership function;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.227