Wavelet Neural Network based Controller Performance Analysis of a PMBLDC Motor

摘要

Wavelet Neural Networks (WNN) are computational tools used now a day for control and estimation purposes. This paper describes a wavelet neural network based control system designed for Permanent Magnet Brushless DC (PMBLDC) Motor drive. The WNN controller is trained online through gradient descent algorithm for controlling the motor output in different operating conditions. A software is developed in C++ and was used to test the performance of the drive system. The results show that drive control system works effectively after comparison of the results with those obtained using PI controller based system.