DocumentCode :
3141699
Title :
Hierarchical fuzzy controller and its industrial application
Author :
Pei, Shu-Meng ; Shen, Li ; Ye, Le-Nian
Author_Institution :
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Volume :
1
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
266
Abstract :
To reduce the difficulties involved in choosing an appropriate fuzzy knowledge base, i.e. scaling factors, membership functions, rules, etc., of a fuzzy PI controller that is capable of control in most industrial environments, a kind of fuzzy controller with a hierarchical structure is proposed which takes accumulated control as an input in addition to the error and change of error. The new fuzzy controller is divided into several subcontrollers which can be designed separately. Each subcontroller can be designed easily and can perform well in a certain running state. When all the subcontrollers perform well, the hierarchical fuzzy controller can obtain a good performance. A general strategy for dividing up the whole controller is defined. Simulation results show that both the transitory performance and the steady-state performance are better than that of conventional fuzzy PI controllers. The proposed hierarchical fuzzy controller is applied to a 10 tonne/hour coal-burning grate boiler and some real-time running results are given
Keywords :
boilers; control system synthesis; fuzzy control; hierarchical systems; industrial control; performance index; two-term control; accumulated control; coal-burning grate boiler; controller partitioning strategy; error; fuzzy PI controller; fuzzy knowledge base; fuzzy membership functions; fuzzy rules; hierarchical fuzzy controller; industrial application; real-time system; running state; scaling factors; steady-state performance; subcontroller design; transitory performance; Appropriate technology; Automatic control; Error correction; Fuzzy control; Fuzzy logic; Industrial control; Knowledge engineering; PD control; Performance gain; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.672779
Filename :
672779
Link To Document :
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