Title :
Neuromorphic self-tuning PID controller
Author :
Akhyar, Saiful ; Omatu, Sigeru
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Abstract :
Using the nonlinear mapping capability of neural networks (NNs) a tuning method of a proportional integral derivative (PID) controller based on a backpropagation (BP) method of multilayered NNs is derived. Simulated and experimental results show that the proposed method can identify the appropriate parameters of the PID controller when it is implemented to both linear and nonlinear plants
Keywords :
adaptive control; backpropagation; feedforward neural nets; self-adjusting systems; three-term control; backpropagation; linear plants; multilayered NNs; neuromorphic controller; nonlinear mapping capability; nonlinear plants; self-tuning PID controller; Control systems; Neural networks; Neuromorphics; Neurons; PD control; Pi control; Process control; Proportional control; Three-term control; Tuning;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298617
