Brushless DC motor control using a general regression neuralnetwork

摘要

A general regression neural network (GRNN) is used to simulate thespeed control of a brushless DC motor. The GRNN offers advantages overconventional controllers in terms of adaptability, robustness toparameter variation, and simplicity. Because of its capability to learnquickly, the GRNN is particularly suited to online learning of changingplant conditions