DocumentCode
441680
Title
Research of grey predictive fuzzy controller for large time delay system
Author
Han, Pu ; Liu, Hong-Jun ; Meng, Li-Min ; Wang, Na
Author_Institution
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Volume
2
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
829
Abstract
In order to achieve effectiveness and high control performance of complex processes with large time delay, a predictive fuzzy control method based on grey model is proposed in this paper. By employing grey predictive model, a two-dimensional predictive fuzzy controller is constructed. Its input variables are predictive error and predictive error rate. Fuzzy decision making mechanism according to present state is introduced into the arithmetic to realize self-adaptive adjusting of predictive steps in grey predictive model to enhance the controller´s performance. Thus the disadvantage that the conventional fuzzy control can´t be fed back timely is overcome. Compared with conventional predictive control, its calculation is simple and it is easy to realize. The simulation for the temperature control of decomposing furnace using this method is carried out. The results show the proposed method is effective.
Keywords
decision making; delays; furnaces; fuzzy control; grey systems; predictive control; self-adjusting systems; temperature control; decomposing furnace; fuzzy decision making; grey predictive model; large time delay system; predictive fuzzy control; self-adaptive adjusting; temperature control; Arithmetic; Control systems; Decision making; Delay effects; Error analysis; Fuzzy control; Fuzzy systems; Input variables; Predictive control; Predictive models; Large time delay; decomposing furnace; fuzzy control; grey predictive model; predictive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527058
Filename
1527058
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