DocumentCode
3096302
Title
Main steam temperature composite control system based on variable universe fuzzy logic control integrated with immune and self-tuning PID controller
Author
Yan, Zhen-jie ; Xue, Yang ; Ye, Jian-hua ; Qian, Hong ; Xu-Hong Yang
Author_Institution
Dept. of Electr. Power & Autom., Shanghai Univ. of Electr. Power, Shanghai, China
Volume
2
fYear
2009
fDate
12-15 July 2009
Firstpage
712
Lastpage
716
Abstract
The main steam temperature control system is necessary to ensure high efficiency and high load-following capability in the operation of modern power plant, which has the characteristics of large inertia, large time-delay and time-varying, etc. Thus conventional PID control strategy cannot achieve good control performance. Prompted by the feedback regulation mechanism of biology immune response and the variable universe fuzzy logic control, a composite control strategy based on variable universe fuzzy logic control integrated with immune and self-tuning PID control is presented in this paper. It has stronger robustness and better self-adaptive ability, which can be adaptive to the change in the parameters of the controlled plant. A simulation study of the main steam temperature control system shows that this control strategy is effective, practicable and superior to conventional PID control.
Keywords
feedback; fuzzy control; regulation; self-adjusting systems; steam plants; temperature control; three-term control; biology immune response; composite control strategy; feedback regulation; immune PID controller; load-following capability; main steam temperature composite control system; self-tuning PID controller; steam temperature control system; variable universe fuzzy logic control; Biological control systems; Control systems; Feedback; Fuzzy logic; Immune system; Power generation; Robust control; Temperature control; Three-term control; Time varying systems; Immune regulation; Main steam temperature system; Resource management; Self-tuning PID control; Variable universe fuzzy logic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212443
Filename
5212443
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