MRAS-Based Sensorless Control Scheme for Open- End Stator Winding Six-Phase Induction Motor with Fuzzy Logic Speed Controller: Real-Time Simulation

Abstract

This paper presents a advanced field-oriented control (FOC) for an open-end stator windings six phase induction motor (SPIM-OESW) with fuzzy logic (FL) speed controller. The proposed motor topology is fed by four, three-phase voltage inverters with two isolated DC sources. The FOC technique requires a precise knowledge of some machine's variables such as rotor position and rotor flux which are difficult to measure. Usually, the rotor position and motor speed are measured by a shaft-mounted encoder, but that makes the maintenance activities more difficult, and reduces system's reliability. Motor flux measurement is more complicated and requires machine's built in sensors. Therefore, a rotor flux-based model reference adaptive system (RF-MRAS) is proposed in this paper for the estimation of both rotor flux and rotor speed. In addition, the classic integral proportional (PI) controller is replaced by a FL controller to achieve better speed response at different operating points. The proposed control scheme is built within the Simulink environment combined with the Real-Time platform. Real time results are obtained to illustrate the effectiveness of the proposed control under different operating conditions.