• 전력전자학회:학술대회논문집
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• 전력전자학회 1999년도 전력전자학술대회 논문집
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• pp.18-21
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• 1999

This paper presents a speed and position sensorless control of permanent magnet synchronous motors using an integral binary observer. In order to improve the steady state performance of the binary observer, the binary observer is formed by adding extra integral dynamics to the switching hyperplane equation. The observer structure and its deign method are described. The experimetntal results of the proposed algorithm are presented to demonstrate the effectiveness of the approach.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 B
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• pp.1023-1025
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• 1993

BLDC motor is widely used in industrial drive applications due to high efficiency, high power and easy maintenance. However position and speed sensors generally used in BLDC motor increase drive cost, and reduce application range. This study describes sensorless speed control using instantaneous voltage-current equation, and presents the results of computer simulation.

• Journal of Advanced Marine Engineering and Technology
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• 제26권6호
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• pp.695-704
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• 2002

Generally, induction motor controller requires rotor speed sensor for commutation and current control, but it increases cost and size of the motor. So in these days, various researches including speed sensorless vector control have been reported and some of them have been put to practical use. In this paper a new speed estimation method using neural networks is proposed. The optimal neural network structure was tracked down by trial and error, and it was found that the 8-16-1 neural network has given correct results for the instantaneous rotor speed. Supervised learning methods, through which the neural network is trained to learn the input/output pattern presented, are typically used. The back-propagation technique is used to adjust the neural network weights during training. The rotor speed is calculated by weights and eight inputs to the neural network. Also, the proposed method has advantages such as the independency on machine parameters, the insensitivity to the load condition, and the stability in the low speed operation.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1456-1470
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• 2017

This paper presents sensorless vector control of induction motor drives with an improved model reference adaptive system observer for rotor speed estimation and parameters identification from measured stator currents, stator voltages and estimated rotor fluxes. The aim of the proposed sensorless control method is to compensate simultaneously stator resistance and rotor time constant variations which are subject of large changes during operation. PI controllers have been used in the model reference adaptive system adaptation mechanism and in the closed loops of speed and currents regulation. The stability of the proposed observer is proved by the Lyapunov's theorem and its feasibility is verified by experimentation. The experimental results are obtained with an 1 kW induction motor using Matlab/Simulink and a dSPACE system with DS1104 controller board showing the effectiveness of the proposed approach in terms of dynamic performance.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 추계학술대회 논문집 학회본부
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• pp.148-151
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• 1991

This paper describes the vector control system estimates rotor speed based on MRAS(Model Reference Adaptive Control) and this estimate is used for speed feedback control. The stability of speed estimator is proved on the basis of hyperstability theory. In order to improve the performance of speed control, the load torque is estimated by load torque observer and speed controller compensates this estimate value. Thus the robust vector control system against load torque disturbance is constructed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.174-176
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• 2002

This paper presents an analysis of speed sensorless vector control systems using the rotor flux observers. For the comparison tests in this paper speed estimation schemes are the same. The performance of speed sensorless control is much dependent on the flux estimation performance. The experimental results are also included.

• 조명전기설비학회논문지
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• 제20권10호
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• pp.74-81
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• 2006

본 논문은 회전자 위치와 속도 정보를 가진 고정자 자속을 추정할 수 있는 프로그래머블 저역통과 필터를 이용한 비돌극 영구자석형 동기전동기의 센서리스 벡터제어를 제안한다. PLPF를 사용한 PMSM의 센서리스 벡터제어는 LPF와 순수적분기가 갖는 DC 드리프트 문제를 해결할 수 있다. 또한 PLPF는 정확한 회전자 위치와 속도 추정을 위해 위상과 이득 보상기를 갖는다. 그러므로, 드리프트와 옵셋 문제는 PLPF로써 해결되기 때문에 위치 및 속도의 정보는 정확히 추정된다. 실험결과는 정격속도의 10[%]이상과 부하상태에서 좋은 성능을 보여준다.

• 전력전자학회논문지
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• 제24권2호
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• pp.127-133
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• 2019

This paper proposes a restarting method for extended electromotive force (EEMF)-based sensorless permanent magnet synchronous motor (PMSM) drive systems. The sensorless PMSM drive systems generally estimate the rotor speed and angle based on EEMF. However, if the inverter is stopped while the PMSM is rotating, the initial rotor speed and angle are required for restart. Therefore, the proposed restarting method estimates the initial rotor speed and angle using the short-circuit current generated by applying zero voltage vector from the inverter. The validity of the proposed method is verified by simulation and experimental results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 B
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• pp.1053-1055
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• 2000

This paper describes a new approach to estimating permanent magnet synchronous motor(PMSM) speed and position from measured terminal voltages and currents for speed-sensorless vector control. The proposed system is based on observing the instantaneous reactive power of the motor. The described technique is very simple and robust to variations of motor parameters. The new approach is not dependent upon the value of the stator resistance. Also, MRAS schemes are chosen for determining the adaptive law for the speed and the position estimator. The effectiveness is verified by simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 B
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• pp.384-386
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• 2000

This paper describes a new approach to estimating permanent magnet synchronous motor(PMSM) speed and position from measured terminal voltages and currents for speed-sensorless vector control. The proposed system is based on observing the instantaneous reactive power of the motor. The described technique is very simple and robust to variations of motor parameters. The new approach is not dependent upon the value of the stator resistance. Also, MRAS schemes are chosen for determining the adaptive law for the speed and the position estimator. The effectiveness is verified by the experimental results.