Rotor Flux Model Reference Adaptive System Based Speed Estimation for Field-Oriented Control of Induction Motor Drives

Induction motors (IM) are widely used in industrial applications due to their robustness, low maintenance, and cost-effectiveness. Traditional methods rely on speed sensors, which increase system cost and complexity while reducing reliability. Sensorless speed estimation techniques have gained significant attention as they eliminate the need for physical sensors. Therefore, accurate speed estimation is crucial for the high-performance control of induction motor drives. This paper explores the principles, design, and implementation of rotor flux Model Reference Adaptive System (MRAS)-based speed estimation for Field-Oriented Control (FOC) of Induction motor drives (IMD). The system behaviour and response at various operating conditions are analysed using MATLAB/Simulink. Additionally, a comparison between the proposed MRAS-based speed estimation technique and the conventional sensor-based method is presented, highlighting their advantages, challenges, and overall performance. Potential improvements for future applications are also discussed.