DocumentCode
1904066
Title
Neuromorphic self-tuning PID controller
Author
Akhyar, Saiful ; Omatu, Sigeru
Author_Institution
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
fYear
1993
fDate
1993
Firstpage
552
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298617
Filename
298617
Link To Document