An Intelligent Hybrid Fuzzy PI controller for Performance Analysis of Permanent Magnet Synchronous Motor

The Conventional AC drives are replaced by the Permanent Magnet motor drives in various applications due to its brushless, efficiency and minimal weight. In industiial applications, Proportional-Integral (P1) controllers are largely employed in PMSM drives and it’s a very simple controller that results in adequate performance. appropriate controller modelling is required for the PMS M for regulating the speed so that it becomes more suitable for numerous industrial applications where high precision and high performance is required. This paper oroooses a novel control method to improve the performance of the Permanent Magnet Synchronous Motor (PMS M) system. A simulation of the entire system is built in MATLAB to control the speed of the machines. The hybrid soft computing controllers are orooosed by using stochastic slime mould algorithm (S MA). back prooagated soiking neural network (BPSNN) and fuzzy inference svstem based Proportional – Integral (PD controller and it improves the speed performance of PMSM drives.