Sensorless Sliding Mode Control of Open-End Dual-Stator Induction Motor using Extended Kalman Filter

Abstract

This paper presents a new advanced sliding mode control (SMC) based on backstepping approach for an open-end stator windings dual-stator induction motor (DSIM-OESW) under low speed condition. The proposed motor topology is fed by four three-phase voltage inverters with two isolated DC sources, and is controlled using Pulse Width Modulation (PWM). The proposed control technique includes the identification of motor parameters. A simplified Extended Kalman Filter (EKF) estimator is proposed for the estimation of both rotor flux and rotor speed. The sensorless control scheme is built within the Simulink environment combined with hardware-in-the-loop platform. The obtained results illustrate the correctness of the proposed sensorless control approach under different operating conditions, especially at low speed operation.