DocumentCode :
397806
Title :
Modeling and control on the separating process with air-solid fluidized bed based on ANFIS
Author :
Lin, Bihua ; Han, Pu ; Wang, Dongfeng ; Guo, Qigang
Author_Institution :
Power Eng. Dept., North China Electr. Power Univ., Baoding, China
Volume :
3
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
2430
Abstract :
In the separating process with air-solid fluidized bed (ASFB), the density and height are the key factors of affecting the effect of dry cleaning of coal with ASFB. It required higher demands of the measure and control precision on the density and height of the dry cleaning of coal with ASFB and the demand of the controlling method. The ANFIS is used as an identifier to model on the separating process with the air-solid fluidized bed. Then, ANFIS is used as a controller to control the separating process with ASFB. Therefore, we achieve the on-line self-adaptive control on the separating process of ASFB. Finally, the simulation results and analysis are presented. Simulation results show that ANFIS has better control quality, stronger robustness and adaptive capacity.
Keywords :
adaptive control; coal; fluidised beds; fuel processing industries; fuzzy control; fuzzy logic; fuzzy neural nets; inference mechanisms; process control; robust control; self-adjusting systems; ANFIS; ASFB; adaptive capacity; adaptive neuro-fuzzy inference system; air-solid fluidized bed; coal; control quality; density modeling; dry cleaning; height modeling; identifier; online self adaptive control; robustness; separating process control; separating process modeling; Cleaning; Control system synthesis; Delamination; Density measurement; Fluidization; Fuzzy logic; Fuzzy systems; Inference algorithms; Mathematical model; Mathematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244248
Filename :
1244248
Link To Document :
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