Title :
Adaptive tuning of a PI speed controller for a brushless DC motor: optimum speed control using a neural network
Author :
El-Balluq, Tariq N N ; Acarnley, Paul P. ; Atkinson, David J.
Author_Institution :
Sch. of Electr., Electron. & Comput. Eng., Newcastle upon Tyne Univ., UK
Abstract :
This paper presents a method of adjusting the gains of a PI speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response for a brushless DC drive. A feedforward neural network, trained using a genetic algorithm, adjusts the controller gains to improve the speed response to changes in speed demand and load. Experimental results demonstrate how the gain values vary with speed demand and load set point.
Keywords :
DC motor drives; PI control; adaptive control; brushless DC motors; feedforward neural nets; genetic algorithms; machine control; neurocontrollers; optimal control; velocity control; PI speed controller; adaptive tuning; brushless DC motor; feedforward neural network; genetic algorithm; integral absolute error; optimum speed control; Adaptive control; Artificial neural networks; Brushless DC motors; Genetic algorithms; Neural networks; Pi control; Programmable control; Proportional control; Torque control; Velocity control; PI controller; electric drive; genetic algorithm; neural network;
Conference_Titel :
Industrial Electronics, 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8304-4
DOI :
10.1109/ISIE.2004.1571851
