Title :
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
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;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223703
