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

Autor:	Yu-fei Yao, Jun-xiao Wang, Qing-song Lin
Rok vydání:	2010
Předmět:	Radial basis function network Adaptive control Computer science PID controller Servomechanism Backpropagation law.invention Robustness (computer science) law Control theory Control system MATLAB computer computer.programming_language
Zdroj:	DBTA
DOI:	10.1109/dbta.2010.5658973
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::321fe58458abb91beca92e405fe602e5 https://doi.org/10.1109/dbta.2010.5658973 Zobrazit plný text záznamu