• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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• pp.77-78
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• 2008

This paper presents to control speed of induction motors with uncertainties. We use an adaptive backstepping controller with fuzzy neural networks(FNNs) and model reference adaptive system(MRAS) at Indirect vector control method. The adaptive backstepping controller using FNNs can control speed of induction motors even we have a minimum of information. And this controller can be used to approximate most of uncertainties which are derived from unknown motor parameters, load torque such as disturbances. MRAS estimates to rotor resistance and also can find optimal flux to minimize power losses of Induction motor. Indirect vector PI current controller is used to keep rotor flux constant without measuring or estimating the rotor flux. Simulation and experiment results are verified the effectiveness of this proposed approach.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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• pp.228-231
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• 2000

When the vector control which does not need a speed signal from a mechanical speed sensor it is possible to reduce the cost of the control equipment and to improve the control performance in many industrial application. In this paper describes a rotor speed estimate method of induction motor based on the theory of counter EMF MRAS. This method eliminated the pure integrator. and we can be expected to rapid responsibility of the speed identification, Therefore we improve the initial condition of the integrator and drift problem. The stability of speed estimator is proved on the basis of hyperstability theory. In order to confirm the performance of the proposed system Simulation and experiment is performed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.1011_1012
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• 2009

Low costed position sensor or sensorless control method is generally used in the motor control for home appliance because of the material cost and manufacture standard restriction. In conventional sensorless method, the stator resistance and back-EMF coefficient are varied by the motor speed and load torque variation. Therefore, position error occurred when the motor is operated by sensorless control method because of these variations. In this paper, the compensation method is proposed for sensorless position error using the MRAS method and compared with the other sensorless control method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.71-73
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• 2007

Speed and torque controls of induction motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of a motor. Therefore, many studies have been performed for the elimination of speed and position sensors. This paper investigates an improved sensorless control of an induction motor. The proposed control strategy utilizes the MRAS(Model Reference Adaptive System) for estimating the speed of a sensorless induction motor. The proposed algorithm is verified through the simulation and experimentation.

• 전기학회논문지
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• 제56권1호
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• pp.183-187
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• 2007

This paper proposes Fuzzy Speed Estimator using Fuzzy Logic Controller(FLC) as a adaptive law in Model Reference Adaptive System(MRAS) in order to realize the speed-sensorless control of an induction motor. Fuzzy Speed Estimator estimates the speed of an induction motor with a rotor flux of the reference model and the adjustable model in MRAS. Fuzzy logic controller reduces the error of the rotor flux between the reference model and the adjustable model using the error and the change of error of the rotor flux as the input of FLC. The experiment is executed to verify the propriety and the effectiveness of the proposed speed estimator.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 B
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• pp.1144-1146
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• 2001

In this paper, describes a rotor speed identification method of induction motor based on the theory of counter EMF MRAS. This method eliminated the pure integrator and we can be expected to rapid responsibility of the speed identification. Therefore, we may improve the initial condition of the integrator and drift problem. The stability of speed estimator is proved on the basis of hyperstability theory. In order to confirm the performance of the proposed system, simulation and experiment is performed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.647-648
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• 2015

최근 최저효율제를 대비한 프리미엄급 고효율 전동기의 필요성이 대두됨에 따라 유도전동기를 대체할 수 있는 고효율 전동기로써 영구자석 매입형 동기 릴럭턴스 모터(PMA-SynRM)가 각광받고 있다. 하지만 모터의 속도와 토크를 제어하기 위해 회전자 속도와 위치 정보를 측정할 수 있는 센서가 필요하고, 이 때 센서 설치의 공간적 문제, 센서의 유지/보수 및 시스템의 추가 비용 발생 등 많은 문제점들이 발생한다. 따라서 센서를 제거하기 위한 센서리스 위치 및 속도 제어에 관한 연구가 폭 넓게 진행되고 있다. 하지만 모터를 운전함에 따라 저항이나 역기전력 상수, 인덕턴스 등의 제정수의 변동이 발생하게 되고 센서리스 제어 시 이러한 변동에 의해서 추정 속도 및 위치에 오차가 발생하게 된다. 본 논문에서는 이러한 오차의 보상을 위해 MRAS(Model Reference Adaptive System) 방식을 적용한 센서리스 제어를 제안한다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제52권11호
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• pp.541-547
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• 2003

Speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of a motor. Therefore, many studies have been peformed for the elimination of speed and position sensors. This paper investigates a novel speed sensorless control of a permanent magnet synchronous motor. The proposed control strategy is based on the MRAS(Model Reference Adaptive System) using the state observer model with the current error feedback and the magnet flux model as two models for the back-emf estimation. The proposed algorithm is verified through the simulation and experiment.

• Journal of Power Electronics
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• 제11권6호
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• pp.864-869
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• 2011

This paper presents a sensorless control and parameter estimation strategies for a Transverse Flux Rotating Motor (TFRM). The proposed sensorless control method is based on a Model Reference Adaptive System (MRAS) to estimate the stator flux. Parameter estimation theory is also applied into the sensorless control method to estimate motor parameters, such as inductances. The effectiveness of the proposed methods is verified by some simulations and experiments.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 B
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• pp.1093-1095
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• 2000

In this paper, describes a rotor speed identification method of induction motor based on the theory of counter EMF MRAS. This method eliminated the pure integrator and we can be expected to rapid responsibility of the speed identification. Therefore, we may improve the initial condition of the integrator and drift problem. The stability of speed estimator is proved on the basis of hyperstability theory. In order to confirm the performance of the proposed system, simulation and experiment is performed.