DocumentCode :
3036680
Title :
The study and application of integrated control strategy
Author :
Zhang, Lixiang
Author_Institution :
Dept. of Autom., Shanxi Univ., Taiyuan, China
Volume :
3
fYear :
2012
fDate :
25-27 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
According to the object with strong time-delay and time-varying nonlinear property, a integrated control strategy of combining the improved frame of Smith prediction method with fuzzy inference and the conventional control is put forward in the paper. It is possible to realize effectively compensation of time-delay and inertia character of the controlled object on line and to improve adaptive ability and robustness of the control system. In addition, this method can overcome the fault of single control plan. It is applied to the main stream temperature in fossil fired power plant, the test result has proved the integrated control strategy, to integrate advanced control and intelligent control with conventional control for a controlled object, is a vary effective strategy.
Keywords :
compensation; delay systems; fossil fuels; fuzzy reasoning; intelligent control; nonlinear control systems; power plants; steam power stations; temperature control; time-varying systems; Smith prediction method; fossil fired power plant; fuzzy inference; inertia character compensation; integrate advanced control; integrated control strategy; intelligent control; stream temperature; time-delay compensation; time-delay nonlinear property; time-varying nonlinear property; Centralized control; Predictive control; Predictive models; Temperature; Temperature control; advanced control; conventional control; integrated control strategy; intelligent control; main stream temperature; the object with the time-delay and time-varying nonlinear property;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
Type :
conf
DOI :
10.1109/CSAE.2012.6272894
Filename :
6272894
Link To Document :
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