DocumentCode
2512531
Title
Modified fuzzy adaptive PID algorithm and its application in power plant
Author
Hou, Guolian ; Hou, Qian ; Zhang, Jianhua
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2011
fDate
23-25 May 2011
Firstpage
651
Lastpage
656
Abstract
The characteristics of thermal plant are nonlinearity, time variation and uncertainty during variable condition. It is difficult to obtain the satisfying control effect with traditional PID controller. In order to solve this problem, a modified fuzzy adaptive PID control algorithm is proposed in the paper. The method is attained by optimizing the traditional fuzzy PID control algorithm based on analysis of the thought of changing universe and online self-tuning. Under the premise of unchanging rules number, make whole universe changes in synchronization with error change, and online adjust the fuzzy PID parameters. So the fuzzy rules of proposed controller are online dynamic adjustment. A series of simulation are tested. The simulation results indicate that, compared with conventional PID control method, the proposed method can not only shorten the step input response time, but also have stronger adaptive capability to the unknown disturbance, parameter time variable character and nonlinear of the system. The proposed algorithm can obtain satisfactory dynamic and stationary performances.
Keywords
adaptive control; fuzzy control; nonlinear control systems; power station control; self-adjusting systems; thermal power stations; three-term control; fuzzy adaptive PID algorithm; online dynamic adjustment; online selftuning; parameter time variable character; power plant; system nonlinearity; thermal plant; Adaptation models; Control systems; Heuristic algorithms; Power generation; Process control; Simulation; Stability analysis; Adaptive Control; Modified Fuzzy PID; Power Plant;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968263
Filename
5968263
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