• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2001년도 학술대회 논문집 전문대학교육위원
• /
• pp.113-115
• /
• 2001

This paper presents the rotor parameter identification based on the MRAS theory and the speed estimation using ANN for the sensorless vector control of induction motor. The motor speed is estimated using ANN model which contains the rotor parameter. And the rotor parameter is identified using MRAS scheme which contains the rotor speed. The rotor speed estimate converges to its actual value as the rotor parameter error converges toward the zero. The simulation using Matlab/Simulink is performed to show the effectiveness of the proposed scheme.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2001년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
• /
• pp.281-284
• /
• 2001

This paper presents implementation of digitally speed sensorless control system for induction motor with a direct torque control(DTC) using 32bit DSP TMS320C31. The system are closed loop stator flux and torque observer for wide speed range that inputs are currents and voltages sensing of motor terminal, MRAS with rotor flux linkages for the speed turning signal, two hysteresis controllers, optimal switching look-up table and IGBT voltage source inverter. There are suggested a control algorithm and system, and given simulation and implementation results on the 2.2Kw general purposed induction motor.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 D
• /
• pp.2064-2066
• /
• 2002

This paper proposes Model Reference Adaptive Fuzzy System(MRAFS) using Fuzzy Logic Controller(FLC) as a adaptive laws in Model Reference Adaptive System(MRAS) in order to realize the speed-sensorless control of an induction motor. MRAFS estimates the speed of an induction motor with a rotor flux of a reference model and 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 as the input of FLC. The computer simulation is executed to verify the propriety and the effectiveness of the proposed system.

• 제어로봇시스템학회논문지
• /
• 제7권2호
• /
• pp.125-130
• /
• 2001

This paper presents an indirect field-oriented (IFO) induction motor position servo drives which uses the model following adaptive controller with the artificial neural network(ANN)-based rotor resistance estimator. The model reference adaptive system(MRAS)-based 2-layer ANN estimates the rotor resistance on-line and a linear model-following position controller is designed by using the estimated the rotor resistance value. At the end, a fuzzy logic system(FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 B
• /
• pp.1123-1125
• /
• 2000

This paper presents the speed estimation using ANN and the rotor parameter Identification based on the MRAS theory for the sensorless induction motor drives. The motor speed is estimated using ANN model which contains the rotor parameter. And the rotor parameter is identified using MRAS scheme which contains the rotor speed. The rotor speed estimate converges to its actual value as the rotor parameter error converges toward the zero. The simulation using Matlab/Simulink is performed to verify the effectiveness of the proposed scheme.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제53권6호
• /
• pp.389-394
• /
• 2004

This paper proposes a speed estimation method using FLC(Fuzzy Logic Controller) in order to realize the speed control of PMAM(Permanent Magnet AC Motor) with no speed sensor. This method uses FLC as a adaptive laws of MRAS(Model Reference Adaptive System) and estimates the rotor speed of PMAM with a difference between the reference model and the adjustable model. Speed control is performed by PI controller with the estimated speed. The experiment is executed to verify the propriety and the effectiveness of the proposed system.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2015년도 전력전자학술대회 논문집
• /
• pp.211-212
• /
• 2015

본 논문에서는 MRAS(Model Reference Adaptive System)을 이용한 유도 전동기의 회전자 저항을 추정하는 방법을 제안하였다. 슬립 계산은 회전자 저항 값과 연관되어 있기 때문에, 잘못된 회전자 저항 값 정보는 벡터제어의 동특성을 저하시킬 수 있다. 따라서 회전자 저항 값을 정확히 측정 또는 추정이 매우 중요하다. 본 논문에서는 회전자 자속의 크기 기반의 MRAS를 바탕으로 회전자 자속 전압 모델을 기준 모델로 구성하고 회전자 자속 전류 모델을 적응 모델로 구성하는 방법을 제안하였다. 제안한 방법은 두 모델 사이의 오차 신호를 영으로 수렴하도록 적응 메커니즘을 구성하여 회전자 저항 값을 추정한다. 본 논문에서는 시뮬레이션을 통하여 제안된 방법의 타당성을 검증하였다.

• Journal of Power Electronics
• /
• 제19권3호
• /
• pp.751-760
• /
• 2019

Since parameter mismatch seriously impacts the efficiency and stability of induction motor drives, it is important to accurately estimate the rotor and stator resistance. This paper introduces a method to directly calculate the rotor flux that is independent of stator and rotor resistance and electrical angle. It is based on obtaining the rotor and stator resistance using the model reference adaptive system (MRAS) method. The method has a lower computation burden and less adaptation time when compared with other rotor resistance estimation methods. This paper builds three coordinate frames to analyze the rotor flux error and rotor resistance error. A number of implementation issues are also considered.

• Journal of Electrical Engineering and Technology
• /
• 제3권2호
• /
• pp.224-234
• /
• 2008

Multi-phase machines can be used in variable speed drives. Their applications include electric ship propulsion, 'more-electric aircraft' and traction applications, electric vehicles, and hybrid electric vehicles. Multi-phase machines enable independent control of a few numbers of machines that are connected in series in a particular manner with their supply being fed from a single voltage source inverter(VSI). The idea was first implemented for a five-phase series-connected two-motor drive system, but is now applicable to any number of phases more than or equal to five-phase. The number of series-connected machines is a function of the phase number of VSI. Theoretical and simulation studies have already been reported for number of multi-phase multi-motor drive configurations of series-connection type. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, information concerning the rotor speed is extracted from measured stator currents and voltages at motor terminals. Open-loop estimators or closed-loop observers are used for this purpose. They differ with respect to accuracy, robustness, and sensitivity against model parameter variations. This paper analyses operation of an MRAS estimator based sensorless control of a vector controlled series-connected two-motor five-phase drive system with current control in the stationary reference frame. Results, obtained with fixed-voltage, fixed-frequency supply, and hysteresis current control are presented for various operating conditions on the basis of simulation results. The purpose of this paper is to report the first ever simulation results on a sensorless control of a five-phase two-motor series-connected drive system. The operating principle is given followed by a description of the sensorless technique.

• 전력전자학회논문지
• /
• 제4권1호
• /
• pp.1-12
• /
• 1999

파라미터 변동이나 외란에 강인한 영구자석 동기전동기의 궤환선형화 속도제어기를 설계하고 DSP를 이용하여 실험 시스템을 구현하였다. 시스템의 상태변수에 비하여 매우 느리게 변화하는 파라미터의 추정을 위하여 MRAS를 이용한 추정방법이 MIT rule을 이용하여 유도되었다. 외란이나 시스템의 상태변수 정도의 변화를 보이는 피라미터에 대하여는 그영향이 고려된 준-선형화 비간섭 모델이 유도되었다. 이 모델을 이용하여 제어시스템의 강인성을 얻고자 경계층을 가지는 Sliding mode 제어기를 설계하고 PD 제어기를 적용한 기존의 제어기와 비교하였다. 제안된 제어 방법의 유용성은 Simulation과 DSP에 기반한 실험 시스템을 통하여 검증하였다.