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A new identification procedure to identify unknown parameters of induction motors for self-commissioning of vector controlled electrical drives is developed, substantiated and experimentally verified. Our algorithm uses a full-order adaptive observer to estimate stator fluxes and motor parameters: rotor resistance, stator (rotor) inductances, and, magnetizing inductance. Experiments demonstrate that...
A new identification procedure to identify unknown parameters of induction motors for self-commissioning of vector controlled electrical drives is developed, substantiated and experimentally verified. Our algorithm uses a full-order adaptive observer to estimate stator fluxes and currents and motor parameters: rotor resistance, stator (rotor) inductances, and, magnetizing inductance. Two observers...
This paper presents system analysis, modeling and simulation of an electric vehicle with different sensorless control techniques. Indeed, sensorless control is considered to be a lower cost alternative than the position or speed encoder-based control of induction motors for an electric vehicle. Two popular sensorless control methods, namely, the Luenberger observer and the Kalman filter methods are...
This paper presents an improved speed sensorless vector control method for induction motors used in the field of electrical vehicle propulsion. The proposed method is based on the d-q axis dynamic model of the induction motor and an improved closed-loop flux observer, which can achieve precise rotor and stator flux estimation over a wide speed range. And then, a rotor-speed-estimation method, based...
A new backstepping controller is designed for two different speed sensorless induction motor, based on measurements of stator current. As in field-oriented control scheme, the backstepping analysis generates references for magnetizing flux component and for the speed component of the stator current. The control algorithm is proposed for replacing the existing PI controller to obtain high performance...
This paper presents a new adaptive scheme for online estimation of stator resistance in speed-sensorless induction motor drives. The method is based on the adaptive control theory of model reference adaptive system (MRAS) approach with Luenberger observer. And the stability of the observer with stator resistance estimation in sensorless vector control of induction motors is proved by the Lyapunov's...
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