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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....
In order to achieve optimal control of an interior permanent magnet synchronous generator (IPMSG) used in wind power plants, parameters of the generator need to be identified or estimated. Furthermore, since mechanically mounted speed sensors can cause plant failures, sensorless control is preferred and generator rotor speed needs to be estimated. Model reference based methods are one of the most...
This paper presents, a rotor speed and stator resistance estimation under very low speed operating region using parallel rotor speed and stator resistance estimation scheme. This scheme is an extension of rotor flux based model reference adaptive system (MRAS) scheme. In this scheme the rotor speed and parameter variation is estimated using MRAS technique. The estimated speed is incorporated as a...
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...
This paper investigates the influence of inverter nonlinearity on the parameter estimation in permanent magnet synchronous machines (PMSM). An estimator based on model reference adaptive system (MRAS) is firstly described for simultaneously estimating the stator winding resistance and rotor flux linkage, together with injection of a pulse of id <; 0 which is required for activating the estimation...
A Novel model reference adaptive system (MRAS) based speed estimation technique is presented in this paper. The speed estimator utilizes instantaneous and steady state values of V⃗* × I⃗ in the reference and adjustable models of the MRAS respectively. The major advantages of this method are: (i) flux estimation is not required and (ii) the method is stable in all the 4-quadrants of operation. The...
Two different speed estimation techniques for the doubly fed induction machines (DFIM) are reported here. One of the methods is based on reactive power and the other is based on the computation of flux. Model reference adaptive systems (MRAS) are formulated for speed estimation. The uniqueness of the reactive power based MRAS is that the instantaneous reactive power (IRP) is used in the reference...
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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