The Implementation of Permanent Magnet Synchronous Motor Speed Tracking Based on Onlineartificial Neural Network

This paper deals with the performance analysis of the field oriented control for a permanent magnet synchronous drive system with an artificial neural network proportional-integral-derivative for speed control in closed loop operation. Space vector pulse width modulation is used to generate the required stator voltage. The space vector pulse width modulation has the character of wide linear range, little higher harmonic and easy digital realization. The field oriented control theory and space vector pulse width modulation technique make the permanent magnet synchronous motor can achieve the performance as well as a direct current motor. Therefore an online and offline learning of artificial neural network algorithm is derived. The controller is designed to tracks variations of speed references and stabilizes the output for both systems. The effectiveness of the proposed method is verified by develop the system in MATLAB-simulink program and experimental by using Digital Signal Processing boardand interfacing DAQ with LabView software in order to recorded the result. The results show that the proposed online learning artificial neural network controller produce significant improvement control performance for controlling speed reference variations condition compared to offline learning artificial neural network system. It can conclude that by using proposed controller, the settling time and speed achieving can be improved significantly.