• 제목/요약/키워드: Rotor position Estimation

검색결과 210건 처리시간 0.029초

SRM의 회전자 위치추정 개선을 위한 PLL기법의 적용 (Improvement of Rotor Position Estimation of SRM using PLL technique)

  • 백원식;최경호;황돈하;김동희;김민희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.200-202
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    • 2005
  • In this paper, improved rotor position estimation for position sensorless control system of the SRM (Switched Reluctance Motor) is presented. For more accurate rotor position estimation, the PLL (Phase Locked Loop) based position interpolation is adapted. In the current-flux-rotor position lookup table based rotor position estimation, the inherent current and flux-linkage ripple can cause the position estimation error. Instead of the conventional low-pass filter, the PLL based position interpolation technique is used for the better dynamic performance. The developed rotor position estimation scheme is realized using TMS320F2812 digital signal processor and prototype 1-hp SRM.

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자속 모델 기준 추종방식을 이용한 SRM 회전자 위치평가알고리즘 비교 (Comparison of SRM rotor position estimation algorithm using flux-current methods)

  • 안재황
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2000년도 전력전자학술대회 논문집
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    • pp.697-700
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    • 2000
  • This paper introduces a new rotor position estimation algorithm for the SRM based on the magnetizing curves of aligned and unaligned rotor positions. The flux linkage is calculated by the measured data from phase voltage and phase current and the calculated data are used as the input of magnetizing profiles for rotor position detection. Each of the magnetizing profiles consisted of the methods using the neural network and fuzzy algorithm And also the optima phase is selected by phase selector. To demonstrate the promise of this approach the proposed rotor position estimation algorithms are verified by the experiment results or variable spee range.

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Rotor Position and Speed Estimation of Interior Permanent Magnet Synchronous Motor using Unscented Kalman Filter

  • An, Lu;Hameyer, Kay
    • Journal of international Conference on Electrical Machines and Systems
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    • 제3권4호
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    • pp.458-464
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    • 2014
  • This paper proposes the rotor position and rotor speed estimation for an interior permanent magnet synchronous machines (IPMSM) using Unscented Kalman Filter (UKF) in alpha-beta coordinate system. Conventional algorithms using UKF are based on the simple observer model of IPMSM in d-q coordinate system. Rotor acceleration is neglected within the sampling step. An expansion of the observer model in an alpha-beta coordinate system with the consideration of the rotor speed variation provides the improved rotor position and speed estimation. The results show good stability concerning the expansion of observer model for the IPMSM.

A Novel Position Sensorless Speed Control Scheme for Permanent Magnet Synchronous Motor Drives

  • Won, Tae-Hyun;Lee, Man-Hyung
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제2B권3호
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    • pp.125-132
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    • 2002
  • PMSMS (permanent magnet synchronous motors) are widely used in industrial applications and home appliances because of their high torque to inertia ratio, superior power density, and high efficiency. For high performance control, accurate informations about the rotor position is essential. Sensorless algorithms have lately been studied extensively due to the high cost of position sensors and their low reliability in harsh environments. A novel position sensorless speed control for PMSMs uses indirect flux estimation and is presented in this paper. Rotor position and angular velocity are estimated by the proposed indirect flux estimation. Linkage flux and magnetic field flux are calculated by the voltage equations and the measured phase current without any integration. Instead of linkage flux calculation with integral operation, indirect flux and differential magnetic field are used for the estimation of rotor position. A proper rejection technique fur current noise effect in the calculation of differential linkage flux is introduced. The proposed indirect flux detecting method is free from the integral rounding error and linkage flux drift problem, because differential linkage flux can be calculated without any integral operation. Furthermore, electrical parameters of the PMSM can be measured by the proposed TCM (time compression method) for soft starting and precise estimation of rotor position. The position estimator uses accurate electrical parameters that are obtained from the proposed TCM at starting strategy. In the operating region, a proper compensation method fur temperature effect can compensate fir the estimation error from the variation of electrical parameters. The proposed novel position sensorless speed control scheme is verified by the experimental results.

Rotor Position Estimation Strategy Using Artificial Neural Network for a Novel Design Transverse Flux Machine

  • Turker, Cigdem Gundogan;Kuyumcu, Feriha Erfan
    • Journal of Electrical Engineering and Technology
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    • 제10권5호
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    • pp.2009-2017
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    • 2015
  • The E-Core Transverse Flux Machine is a different design of transverse flux machines combined with reluctance principle. Determination of the rotor position is important for the movement of the ETFM by switching the phase currents in synchronism with the inductance regions of the stator windings. It is the first time that rotor position estimation based on Artificial Neural Network (ANN) is purposed to eliminate the position sensor for the ETFM. Simulation and experimental tests are demonstrated for the feasibility of the proposed estimation algorithm for the exercise bike application of the ETFM.

A Neutral-Voltage-Compensated Sensorless Control of Brushless DC Motor

  • Won, Chang-Hee;Song, Joong-Ho;Ick Choy;Lim, Myo-Taeg
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제3B권1호
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    • pp.59-64
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    • 2003
  • This paper presents a new rotor position estimation method for brushless DC motors. The estimation error of the rotor position clearly provokes the phase shift angle misaligned between the phase current and the back-EMF waveforms, which causes torque ripple in brushless DC motor drives. Such an estimation error can be reduced with the help of the proposed neutral-voltage-based estimation method, which is structured as a closed loop observer. A neutral voltage appearing during the normal mode of the inverter operation is found to be an observable and control table measure, which can be used for estimating an exact rotor position. This neutral voltage is obtained from the DC-link current, the switching logic, and the motor speed values. The proposed algorithm, which can be easily implemented by using a single DC-link current and the motor terminal voltage sensors, is verified by simulation and experiment results.

매입형 영구자석 동기전동기의 초기위치 추정에 관한 연구 (A study of the initial position estimation of an interior permanent magnet synchronous motor)

  • 정우택;이정흠;김대현;최양광;김영석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.46-48
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    • 2004
  • Recently, the study of sensorless drive of IPMSM is coming to be active. In sensorless drive, because the wrong estimation of the initial rotor position brings about the decrease of the starting torque, or a temporary reverse revolution, it is important to know the exact importation of the initial rotor position. In this paper, the initial rotor position estimation method is based on the current peak measured by applying the pulsewise voltage and the current peak is changed according to the rotor position owing to the saliency of the rotor. The effectiveness of the proposed algorithm is verified by the experimental results.

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회전자 위치 추정 PI 제어기를 이용한 비돌극형 PMSM 센서리스 제어 (Sensorless Control of Non-salient PMSM using Rotor Position Tracking PI Controller)

  • 이종건;석줄기;이동춘;김흥근
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제53권11호
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    • pp.664-670
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    • 2004
  • This paper presents a new velocity estimation strategy of a non-salient permanent magnet synchronous motor (PMSM) drive without high frequency signal injection or special PWM pattern. This approach is based on the d-axis current regulator output voltage of the drive system that has the information of rotor position error. The rotor velocity can be estimated through a rotor position tracking PI controller that controls the position error to zero. For zero and low speed operation, PI controller gains of rotor position tracking controller have a variable structure according to the estimated rotor velocity. In order to boost the bandwidth of PI controller around zero speed, a loop recovery technique is applied to the control system. The proposed method only requires the flux linkage of permanent magnet and is insensitive to the parameter estimation error and variation. The designers can easily determine the possible operating range with a desired bandwidth and perform the vector control even at low speeds. The experimental results show the satisfactory operation of the proposed sensorless algorithm under rated load conditions.

서치코일 내장형 SRM의 정지시 회전자 위치 추정 기법 (The Rotor Position Estimation Techniques of an SRM with Built-in Search Coils at Standstill)

  • 양형열;신덕식;임영철
    • 전력전자학회논문지
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    • 제10권1호
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    • pp.45-51
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    • 2005
  • 본 논문에서는 서치코일이 장착된 SRM(Switched Reluctance Motor)의 정지시 회전자 위치를 추정하는 방법을 비교하여 제시하였다. 서치코일이 장착된 SRM은 초기에 정지상태이므로 서치코일에서 유기기전력이 발생하지 않는다. 따라서 정지상태에서 회전자의 위치를 검출하기 위한 방법이 필요하게 된다. 본 논문에서는 유클리디안 제곱거리, 퍼지, 신경망 등 세 가지 방법을 이용하여 회전자의 위치 추정을 위한 시뮬레이션을 실행하였고 그 결과를 비교하였다. 또한 시뮬레이션 결과가 우수한 유클리디안 제곱거리를 이용하여 회전자 위치 추정을 위한 실험을 실시하여 본 논문에서 제안한 방법의 타당성을 검증하였다.

극성 판별이 가능한 최소 제곱법 기반의 IPMSM 회전자 초기 위치 추정 (Initial Rotor Position Estimation of an IPMSM Based on Least Squares Approximation with a Polarity Identification)

  • 김건영;박영수;이교범
    • 전력전자학회논문지
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    • 제23권1호
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    • pp.72-75
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    • 2018
  • An initial rotor position estimation method is proposed in this study for an interior permanent-magnet synchronous motor without a resolver or an absolute encoder. This method uses least squares approximation to estimate the initial rotor position. The magnetic polarity is identified by injection of short pulses. The proposed estimation process is robust because it does not require complex signal processing that depends on the performance of a digital filter. In addition, it can be applied to various servo systems because it does not require additional hardware. Experimental results validate the effectiveness of the proposed method using a standard industrial servomotor with interior-permanent magnets.