Title :
Non-linear PID controller using neural networks
Author :
Matsukuma, Toshiham ; Fujiwara, Atsushi ; Namba, Munehiro ; Ishida, Yoshihisa
Author_Institution :
Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan
Abstract :
This paper describes a nonlinear PID control scheme for pneumatic servo system. The PID controllers are being widely used in industrial applications because of simple, cheap and excellent performance. However, the requirement for control precision becomes higher and higher, as well as the plants become more and more complex. In order to achieve satisfactory control performance, we have to consider the effects of nonlinear factor contained in plant, such as pneumatic cylinder. Hence, the conventional PID controller is limited in some applications. In this paper, a nonlinear PID algorithm and its application to the pneumatic servo system are introduced. The test is carried out in practical pneumatic servo system, the experimental results suggest its superior performance and disturbance rejection
Keywords :
neurocontrollers; nonlinear control systems; pneumatic control equipment; servomechanisms; three-term control; disturbance rejection; neural networks; nonlinear PID control; nonlinear factor; pneumatic cylinder; pneumatic servo system; Communication system control; Control systems; Electrical equipment industry; Filters; Industrial control; Neural networks; Nonlinear control systems; Observers; Servomechanisms; Three-term control;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616127