Design and Simulation of Artificial Neural Network (ANN) Based Speed Control for an Induction Motor Taking Core Loss and Stray Load Losses into Account

Abstract

Indirect field oriented control (FOC) scheme has been preferred due to its superior performance for induction motor (IM). Core loss (CL) and stray load losses (SLLs) are generally neglected in the mathematical model of IM. But it should be considered in the mathematical model of IM to precisely control the torque and flux. Conventional PI controller has overshooting effect at the transient period of the speed response curve. Artificial neural network (ANN) is suitable as a controller for nonlinear systems such as IM. In this paper, an ANN-based speed controller is proposed to control the speed of IM. Simulations analyses have been performed using MATLAB/SIMULINK. The results showed better performance from the proposed controller to control the speed of IM at the transient and steady-state condition without any overshooting effect as compared to the PI controller.