Title :
A hybrid intelligent control for industrial rotary kiln plant
Author :
Wang, Yao Nan ; Shen, Tong Tiao
Author_Institution :
Dept. of Electr. Eng., Hunan Univ., Changsha, China
Abstract :
This paper presents a new hybrid intelligent control (HIC) scheme that combines the techniques of expert control and fuzzy neural networks. The HIC consists of a knowledge base, information pre-processor and intelligent coordinator in an hierarchical structure. The basic idea is to give an effective control strategy to complex controlled plant using a knowledge-based coordinator so as to achieve the desired performance. The results of simulation as well as temperature control for an industrial rotary kiln furnace were performed to demonstrate the feasibility and effectiveness of the proposed scheme
Keywords :
control system analysis; control system synthesis; expert systems; furnaces; fuzzy neural nets; hierarchical systems; industrial control; intelligent control; temperature control; control design; control simulation; effectiveness; expert control; feasibility; fuzzy neural networks; hierarchical structure; hybrid intelligent control; industrial rotary kiln plant; information pre-processor; intelligent coordinator; kiln furnace; knowledge base; temperature control; Cement industry; Expert systems; Fuzzy control; Fuzzy neural networks; Industrial control; Intelligent control; Intelligent structures; Kilns; Neural networks; Temperature control;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.570591
