Improved Sensorless Control of Induction motor by Rotor Resistance Compensation
نویسندگان
چکیده
منابع مشابه
Speed Sensorless Field-Oriented Control of Induction Motor with Rotor Resistance Adaptation
Several field-oriented induction motor drive methods without rotational transducers have been proposed. These methods have a disadvantage that the rotor resistance variation causes an estimation error of the motor speed. Therefore, simultaneous estimation of the motor speed and the rotor resistance is required. This paper presents a method of estimating simultaneously the motor speed and the ro...
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− Accurate knowledge of stator resistance is of utmost importance for correct operation of a number of speed sensorless induction motor control schemes in the low speed region. Since stator resistance inevitably varies with operating conditions, stable and accurate operation at near-zero speed requires an appropriate on-line identification algorithm for the stator resistance. The paper proposes...
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rotor field orientation stator field orientation stator model rotor model MRAS, observers, Kalman filter parasitic properties field angle estimation Abstract — Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, the information on the rotor speed is extracted from measured stator volt...
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This paper proposes a rotor speed identification method for sensorless induction motor drives based on a model reference adaptive system (MRAS). In this scheme, the error between estimated stator current and real stator current is regarded as the system error to estimate the rotor speed. Adaptive fullorder flux observers for estimating the rotor speed are developed using Lyapunov’s stability th...
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Extended Kalman filter (EKF) is widely used for speed estimation in sensorless vector control of induction motor. The major and unsolved issue in the practical implementation of the EKF is the choice of the process and measurement noise covariance matrices. In this paper, a speed estimation method using EKF optimized by improved particle swarm optimization (IPSO) is proposed. By combining the a...
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ژورنال
عنوان ژورنال: The Journal of the Korean Institute of Information and Communication Engineering
سال: 2011
ISSN: 2234-4772
DOI: 10.6109/jkiice.2011.15.4.886