Title :
A predictive I-PD controller for processes with long deadtimes using neural networks
Author :
Katsumata, Kouichi ; Matsuoka, Toshinobu ; Ishida, Yoshihisa ; Honda, Takashi
Author_Institution :
Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper describes a method of auto-tuning an I-PD controller for processes with long deadtimes using neural networks. As is well known, it is too difficult for most process engineers to determine gains of the I-PD controller for such controlled objects. In this paper, we try to use neural networks as a controller. Simulation results show that the proposed method is effective to the actual plant
Keywords :
adaptive control; delays; neurocontrollers; predictive control; self-adjusting systems; three-term control; control auto-tuning; long deadtimes; neural networks; predictive I-PD controller; Communication system control; Control systems; Equations; Neural networks; Predictive control; Predictive models; Process control; Programmable control; Tail; Three-term control;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374738
