Simulation Model of Speed Sensorless Induction Motor

This project presents a simulation model for speed sensorless induction motors. The implementation employs Model Reference Adaptive System (MRAS) technology, which enables accurate speed estimation without physical sensors by comparing the outputs of reference and adjustable models. The simulation includes detailed analysis of various motor parameters such as rotational speed, current waveforms, power consumption, and efficiency metrics. Through parameter variation studies and system identification techniques, we've obtained significant findings regarding how factors like load torque and stator resistance affect motor efficiency. The model implements adaptive observers and flux estimation algorithms to optimize motor performance characteristics. These insights provide valuable guidance for motor engineers and researchers in designing and optimizing advanced motor control systems, particularly for sensorless drive applications where cost reduction and reliability improvement are critical.