Stability and Dynamic Performance Improvement of Speed Adaptive Full-Order Observer for Sensorless Induction Motor Ultralow Speed Operation

Intelligent control of induction motor without speed sensor

“…These approaches depend heavily on the motor parameters, (iii) model reference adaptive system (MRAS) [18], this method has the integration problem which may lead the system to instability, (iv) full order and reduced order closed loop observers. There are many approaches for these techniques, such as adaptive observer [19] which uses a complex gain in the feedback signal, sliding mode observer (SMO) [20], which has chattering carried out due to the high switching gain. Extended Kalman filter EKF has been proposed in [21] as a solution for better flux estimation.…”

“…Extended Kalman filter EKF has been proposed in [21] as a solution for better flux estimation. These approaches contain some inherent disadvantages such as highly computational processes [20], (v) artificial intelligent (AI) methods like artificial neural networks (ANNs) and fuzzy logic (FL) [22]- [24]. These techniques have a great attention in the last decades in many fields especially pattern recognition and control systems since they can deal with the complex or non-linear process without the needing for the relations between the input and output [25].…”