DocumentCode :
1900264
Title :
Study on Predictive Fuzzy Control of Great Inertia System Based on Grey Model
Author :
Li, Pengfei ; Yan, Xinping ; Qiu, Liping ; Zhou, Qiyou
Author_Institution :
Electron. & Engineeringdept Coll., Chongqing Univ. of Sci. & Technol., Chongqing, China
Volume :
2
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
801
Lastpage :
804
Abstract :
Based on the predictive fuzzy control design of grey model, this paper analyses the dynamic output response of great inertia system, and proposes a hybrid control method, which is combined with the adaptive regulator of grey model and fuzzy variable step method. The method overcomes the deficiency of traditional predictive PID and grey prediction control, and obtains a rapid system response index without overshoot. The simulation results shows a remarkable effect and good optimal control function to great inertia system.
Keywords :
control system synthesis; fuzzy control; grey systems; large-scale systems; predictive control; adaptive regulator; fuzzy variable step method; great inertia system; grey model; optimal control function; predictive fuzzy control design; rapid system response index; Control system synthesis; Control systems; Differential equations; Fluctuations; Fuzzy control; Nonlinear control systems; Prediction algorithms; Predictive models; Process control; Three-term control; Fuzzy Control; Great Inerti; Grey Model; Prediction Control; Self-adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.429
Filename :
5287813
Link To Document :
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