Performance analysis of Fuzzy and Neural controller implementation in permanent magnet synchronous motor

This paper presents the implementation and the performance analysis of intelligent control schemes in permanent magnet controlled Synchronous motor. The PMSM of a drive can be achieved by the space vectors through a lookup table, and by using the pulse width modulation (PWM) inverters the regulated sine waves are generated. Permanent magnet synchronous motors (PMSM) generally have a non-linear characteristic whose dynamics are changing concerning time. The Intelligent controllers were used to emulate the base of the relative vector upon its classification. The intelligent controllers were implemented to regulate the performance of the PMSM motor drive. Under steady-state conditions, by the implementation of neural and fuzzy controllers the torque ripple factor and harmonics distortion are minimized and the induction machines can be controlled with DTC. Further to improve the torque response and ripples the Neural & fuzzy logic controllers are used in the PMSM motor drive. The above-obtained results by the (DTC) scheme which was applied to the PI (or) PD controller. The proposed network topologies effectiveness has been verified by using simulation tools like MATLAB/SIMULINK/AUTOCAD.