DocumentCode :
3191316
Title :
Model-Free Adaptive Control Method for Nuclear Steam Generator Water Level
Author :
Mingmei, Wang ; Qiming, Cheng ; Yinman, Cheng ; Yingfei, Wang
Author_Institution :
Coll. of Electr. Power & Autom., Shanghai Univ. of Electr. Power, Shanghai, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
696
Lastpage :
699
Abstract :
Nuclear steam generator is a highly complex, nonlinear, non-minimum phase and time-varying system, which is caused by the swell and shrink effects. So the control of the steam generator water level is very difficult. Conventional double PI control method can not reach a good performance. There are many methodologies applied to water level controller design. But many methodologies are model based, as we all known, model-based methods cannot offer a satisfactory control for steam generator water level since the system is very complex. In this paper, Model-Free Adaptive Control (MFAC) is applied for the steam generator water level control. The MFAC has received much attention as a powerful tool for the control of industrial process systems. Simulation results show the effectiveness and the good performance of the method.
Keywords :
PI control; adaptive control; boilers; level control; nuclear power stations; double PI control method; model-free adaptive control; nuclear steam generator; shrink effect; swell effect; water level controller design; Adaptive control; Control systems; Electrical equipment industry; Industrial control; Level control; Nuclear power generation; Pi control; Power system modeling; Process control; Time varying systems; double PI control; model-free adaptive control; nuclear steam generator; water-level control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.131
Filename :
5522669
Link To Document :
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