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《Journal of Power Engineering》 2006-05
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Fuzzy Control of Saturated Steam Temperature by Multi-Model Particle Swarm Optimization

HAO Wan-Jun~(1,2),LIU Guo-Liang~1,YAN Shi-Zuo~1,QIANG Wen-Yi~1(1.School of Astronautics,Harbin University of Technology,Harbin 150001,China; 2.School of Computers,Beihua University,Jilin 132021,China)  
A multi-model particle swarm optimization(PSO) algorithm is being proposed for solving the problem of poor robustness of single-model PSO.By using it for optimizing the parameters of fuzzy controllers,complex adjustment requirements of parameters can be avoided in the design of the fuzzy controllers and thus improve their control properties.Control simulation results of a boiler's superheater system show that the control system can still maintain good control properties,even during large load variations,exhibiting simultaneously strong robustness.This demonstrates the effectiveness of the designed controller.Figs 6,tables 2 and refs 11.
【Fund】: 黑龙江省科技攻关项目(GC05A306)
【CateGory Index】: TK32
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