Title :
A skill-based PID controller using artificial neural networks
Author :
Takagi, S. ; Oki, T. ; Yamamoto, Takayuki ; Kaneda, M.
Author_Institution :
Dept. of Commun. Eng., Okayama Univ., Japan
Abstract :
Recently, there have been many papers on skill-based controllers in which human skills are represented by artificial neural networks in the literature. This technique for representing the human skills plays an important role in various industries, for example, in manufacturing systems and process systems. A skill-based PID control scheme is proposed, which represents the skills of human experts as PID gains. This controller is designed using three-layered artificial neural networks. The effectiveness of the proposed skill-based PID control scheme is investigated in an application to a pressure control system. The characteristics of the skill-based PID controller are analysed in the frequency domain
Keywords :
feedforward neural nets; frequency-domain analysis; intelligent control; neurocontrollers; pressure control; three-term control; PID gains; artificial neural networks; frequency domain analysis; human skills; intelligent control; manufacturing systems; pressure control system; process systems; skill-based PID control scheme; skill-based PID controller; skill-based controllers; three-layered artificial neural networks; Artificial neural networks; Biological neural networks; Brain modeling; Communication system control; Control systems; Design methodology; Humans; Neural networks; Pressure control; Three-term control;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.637551
