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
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