Title :
Research and simulation on PID control method for Brushless DC Motor based on genetic algorithm and BP neural network
Author :
Ma Xiu-juan ; Liu Yi ; Li Ling
Author_Institution :
Harbin Instn. of Technol., Weihai
Abstract :
This article use the Brushless DC Motor as the plant, to compare the genetic algorithm back propagation neural network PID controller with the traditional PID controller. It proves that adopting genetic algorithm optimization back propagation neural network PID controller to determine the PID parameters has made the kinetic characteristic and the robustness of the system much better.
Keywords :
brushless DC motors; control engineering computing; electric machine analysis computing; genetic algorithms; machine control; neural nets; three-term control; BP neural network; PID control method; back propagation neural network; brushless DC Motor; genetic algorithm; Artificial neural networks; Brushless DC motors; DC motors; Electric vehicles; Genetic algorithms; Mathematical model; Neural networks; Nonlinear control systems; Permanent magnet motors; Three-term control; Brushless DC Motor; Electric vehicle; Genetic Algorithm; Neural Network; PID;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677765
