NEURAL NETWORK BASED SCALAR SPEED CONTROL OF LINEAR PERMANENT MAGNET SYNCHRONOUS MOTOR

Nowadays, Artificial Neural Networks (ANN), in different applications, have been used in solving many problems of non-linear. In this study, ANN based Scalar (V / f) speed control of Linear Permanent Magnet Synchronous Motor (LPMSM) was carried out experimentally. For scalar control, variable frequency drive that is product of model LG-SV022IG5A-4 are used. This drive is controlled by the frequency of the C # programming language prepared by the ANN and the motor speed control was performed. Obtained experimental results by running LPMSM at different speed and load conditions were presented and analysis of success in motor speed control was performed.