A new application for fast prediction and protection of electrical drive wheel speed using machine learning methodology

This paper introduces <span>a non-linear implementation of the speed control technique permanent magnetic synchronous motors (PMSM) using electronic differential (ED) command. Artificial neural network (ANN) coupled with particles swarm optimization (ANN-PSO) are implemented to wheel and steering angle. The main purpose PMSM system its application is command electric vehicles (EV). In controller design, three-phase currents rotor shall be measurable eligible for feedback. Our propulsion platform consists two in back. study ANN-PSO performed after collecting data from ED manage EV, Left right angle ahead. Based on this strategy, a new can provided GPS give information as input (curved path angle) ANN-PSO. Next, estimate parameters avoid slip, well improves better performance dynamic stability vehicle drive systems.</span>