A PID neural network controller

Author

Yongquan, Yu ; Ying, Huang ; Bi, Zeng

Author_Institution

Inst. of Comput. Sci. & Intelligent Eng., Guangdong Univ. of Techol., Guangzhou, China

Volume

3

fYear

2003

fDate

20-24 July 2003

Firstpage

1933

Abstract

In this paper, the new fuzzy PID controller, which is combined fuzzy controller with PID neural network (PIDNN), is proposed. Its structure is difference from the normal one. The feature of it is to use a PIDNN replace PID parameter loop in controller. And the controller is optimized by the learning processing of PIDNN. The principle of PIDNN is discussed and the learning method based on back-propagation-algorithm is given. The two processes, first and second order systems, are simulated. Results of simulating show that the fuzzy PID controller presented in this paper is a better adaptive controller for linear or nonlinear plant.

Keywords

adaptive control; backpropagation; controllers; fuzzy control; neural nets; three-term control; PID neural network controller; PID parameter loop; PIDNN; adaptive controller; backpropagation algorithm; first order systems; fuzzy controller; learning method; learning process; linear plant; nonlinear plant; proportional-integral-derivative controller; second order systems; Automatic control; Control systems; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Neurons; Steady-state; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2003. Proceedings of the International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-7898-9

Type

conf

DOI

10.1109/IJCNN.2003.1223703

Filename

1223703