Artificial Neural Network Based Speed Control of an SPWM-VSI Fed Induction Motor with Considering Core Loss and Stray Load Losses

Due to the superior dynamic performance of the field oriented control technique, Induction Motors (IM) are the workhorses of industries. Core Loss (CL) and Stray Load Loss (SLL) are generally neglected in developing of the mathematical model of IM. But they should be considered in the mathematical model of IM from a viewpoint of precise control of speed and torque. Though PI based control strategy is often used to control the speed of IM, conventional PI controller, in general, has very poor performance in transient response. Artificial Neural Network (ANN) is gaining momentum as a controller for nonlinear system. This paper presents the ANN based speed control scheme of IM with considering CL and SLL. Simulation analyses are performed for both transient and steady state conditions. The results are presented in the cases of traditional PI controller and proposed ANN speed controller. The results show the overshoot can be minimized by using the proposed control scheme. The simulations have been carried out by using MATLAB/SIMULINK environment.