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The sensorless drive system is more versatile due to its small size and low cost. Therefore it is advantageous to use the sensorless system where the speed is estimated by means of a control algorithm instead of measuring. This paper presents a new model reference adaptive system (MRAS) speed observer for high-performance field-oriented control induction motor drives using neural networks. The proposed...
the theory of nonlinear optimal predictive control is applied to the ideal induction motor speeding system, and dynamic decoupling of rotor speed and flux can be obtained. Considering the varieties of load torque and rotor resistance, an identification scheme of model reference adaptive system asymptotically tracks the true values of the load torque and rotor resistance. So an adaptive control method...
A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is...
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...
An adaptive nonlinear sliding mode controller combined with a field orientation scheme has been developed for the control of induction motor to achieve rotor angular speed and rotor flux amplitude tracking objectives. The inputs to the controller are the reference speed, the reference flux, the measured stator currents, the measured rotor speed, the estimated rotor flux, and estimates of the varying...
In this paper, a mechanical speed estimator based on the model reference adaptive-system (MRAS) principle is evaluated for a single-phase induction motor operated as two-phase motor. In three-phase drives with complete vector control/MRAS system the effect of the rotor time constant is auto-compensated by the decoupling compensators or slip calculation. However, it is not feasible in pure MRAS scheme...
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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