DocumentCode
2801800
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
Volume
3
fYear
2009
fDate
Nov. 30 2009-Dec. 1 2009
Firstpage
77
Lastpage
80
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3888-4
Type
conf
DOI
10.1109/KAM.2009.227
Filename
5362442
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