Title :
Intelligent tuning PID controllers
Author :
Yamamoto, Toru ; Kaneda, Masahiro ; Oki, Toshitaka ; Watanabe, Eiji ; Tanaka, Kanya
Author_Institution :
Dept. of Commun. Eng., Okayama Prefectural Univ., Japan
Abstract :
Recently, neural network techniques have been widely used in adaptive and learning control schemes for nonlinear systems. However, generally, it costs a lot of time for learning in the case applied in control systems. Furthermore, the physical meaning of neural networks constructed as a result, is not obvious. In this paper, a design method of intelligent tuning PID controllers is proposed, which has a fusional structure of self-tuning and neural network schemes. This method enables us to understand a physical meaning of the control parameters, and also to adjust PID gains quickly
Keywords :
intelligent control; neurocontrollers; nonlinear control systems; three-term control; tuning; design method; fusional structure; intelligent tuning PID controllers; learning control schemes; neural network techniques; nonlinear systems; Adaptive control; Control systems; Costs; Design methodology; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Three-term control; Tuning;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538176
