Simulation and Application of Neural Network PID Auto-Tuning Controller in Servo-System

Author

Lin, Qing-Song ; Yao, Yu-Fei ; Wang, Jun-Xiao

Author_Institution

Dept. of Electron. & Inf. Eng. Inst., Henan Univ. of Sci. & Technol., Luoyang, China

fYear

2010

fDate

27-28 Nov. 2010

Firstpage

1

Lastpage

4

Abstract

It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm has enhanced response speed and robustness.

Keywords

adaptive control; backpropagation; nonlinear control systems; optimisation; radial basis function networks; self-adjusting systems; servomechanisms; three-term control; time-varying systems; BP; MATLAB; PID control; RBF nets; auto-tuning control; backpropagation; neural network; nonlinear control system; radial basis function network; servo system; time varying control system; Artificial neural networks; Clustering algorithms; Control systems; Heuristic algorithms; Object recognition; Radial basis function networks; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Database Technology and Applications (DBTA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6975-8

Electronic_ISBN

978-1-4244-6977-2

Type

conf

DOI

10.1109/DBTA.2010.5658973

Filename

5658973