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The main goal of this paper is to provide a novel method of parallel rotor resistance and rotor speed estimation for sensorless indirect field oriented controlled induction motor drive. In this scheme, a parallel model reference adaptive system (MRAS) is designed to simultaneous estimation of rotor speed and rotor resistance in order to achieve high-precise control in a wide range of motor speed....
The paper deals with mathematical models of an induction motor which are used for control algorithms of AC drives with induction motors. The first part of the paper describes a current model of the induction motor which is used in the model reference adaptive system as a reference model for a stator resistance estimator. The next part deals with a voltage model, which uses for the determination of...
The present work presents a combined estimation of speed and rotor resistance of an induction motor (IM) drive using model reference adaptive system (MRAS). The reactive power is used to generate the error signal for the adaptation mechanism in this MRAS. The reference model consists of the instantaneous reactive power computed by machine reference line current and voltages. Hence, the reference model...
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...
We have proposed a current observer-based speed sensorless vector control system taking into account both iron loss and stator resistance identification. The method is constructed in a synchronously rotating reference frame. The effectiveness of the proposed system has been investigated by digital simulation and experimentation. Furthermore important control parameters such as stator resistance, observer...
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 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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