Title :
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
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;
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
DOI :
10.1109/DBTA.2010.5658973
