• Title/Summary/Keyword: Rotor position detection

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Rotor Position Detection and Drive of a Single Phase Switched Reluctance Motor Using a Search Coil (서치코일을 이용한 단상 스위치드 릴럭턴스 모터의 회전자 위치검출 및 구동)

  • Yang Hyong-Yeol;Lim Young-Cheol;Kim Kwang-Heon;Cha Deuk-Keun;Shin Duck-Shick
    • The Transactions of the Korean Institute of Power Electronics
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    • v.10 no.5
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    • pp.488-493
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    • 2005
  • This paper presents a method of detecting rotor position for single phase Switched Reluctance Motors(SRMs) using a search coil. In the single phase SRM, mainly Hall effect sensors or photo interrupters have been used to detect the rotor position. But these sensors have many disadvantages. In this paper, low cost and robust characteristics of rotor position detection method are focused in order to compensate for disadvantage of existing sensors. Search coils wound around the stator pole are used for detection of the rotor position in single phase SRM. Rotor position detection is achieved through electromotive force patterns induced by time-varying flux linkage in the search coil. The simulation and experimental results are presented to verify the performance of the proposed method in this paper.

Improvement of Initial Rotor Position Detection for Permanent-Magnet Synchronous Motor Using Magnetic Position Sensor (영구자석형 동기전동기에서 자기식 위치 센서를 사용한 초기 회전자 위치 검출 성능의 개선)

  • Park, Mun-Su;Yoon, Duck-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.398-404
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    • 2021
  • This paper proposes a method of using a magnetic position sensor to detect accurately the rotor position required to perform vector control of a permanent-magnet synchronous motor, particularly the initial rotor position at startup. In the existing vector control systems, the initial rotor position was determined using the output signals of the Hall sensors, or the control was performed in a sensorless method without using such a sensor. On the other hand, the accuracy is degraded due to the occurrence of a position detection error, and the practicality was not satisfactory. This paper attempts to detect the initial rotor position using a magnetic position sensor to solve this problem. This method is used to solve the deteriorating starting characteristics of the motor in the vector control system. In addition, to lower the price of a low-power vector control inverter, this paper proposes a method of integrating the existing sensors and reducing the price to less than half using a magnetic position sensor for speed and position detection.

Rotor position detection of bifilar-wound hybrid stepping motors by phase current measurement (상전류 측정에 의한 복권형 하이브리드 스테핑 전동기의 회전자 위치 검출)

  • Kim, Kyu-Hui;You, Jeong-Bong;Woo, Kwang-Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.6
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    • pp.619-625
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    • 1997
  • In this paper, we show that the rotor position of the bifilar-wound hybrid stepping motors for the closed-loop drives is detected by the phase current measurement. We propose an instantaneous phase current equation, which is the function of electrical angle, by modeling the stepping motor including motor driving circuits. We also analyze the relationship between phase current and rotor position from the computer simulation results. We show that the information about the rotor position is obtained from the phase current amplitude and its derivatives at the instance of ${\pi}/2$ electrical angle of excitation voltage.

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A Simplified Analysis Approach on the Rotor Position Detection Error in Sensorless Interior Permanent Magnet Brushless DC Motor Drives (센서리스 매입형 영구자석 브러시리스 직류전동기 구동장치에서 단순화된 회전자 위치검출 오차 분석 방법)

  • Lee, Kwang-Woon;Park, Tae-Sik
    • The Transactions of the Korean Institute of Power Electronics
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    • v.21 no.5
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    • pp.449-452
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    • 2016
  • This paper presents a simplified analysis on the rotor position detection error in sensorless interior permanent magnet brushless DC motor (BLDCM) drives, wherein terminal voltage sensing based on the back-electromotive force (back-EMF) zero-crossing point detecting circuitry is employed. The effect of a rotor saliency on the back-EMF's zero-crossing point detection is analyzed using the extended EMF-based voltage equation of the interior permanent BLDCM in a stationary reference frame, and thus the overall analysis is considerably simplified compared to the conventional one. Simulation results are provided to verify the effectiveness of the proposed method.

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

  • 안재황
    • Proceedings of the KIPE Conference
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    • 2000.07a
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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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Toroidal Switched Reluctance Motor Drive Systems Using Indirect Rotor Position Sensor (간접식 센서에 의한 토로이달 스위치드 릴럭턴스 모터의 회전자 위치검출 및 구동)

  • Yang H. Y.;Shin D. S.;Lim Y. C.
    • Proceedings of the KIPE Conference
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    • 2004.07a
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    • pp.201-205
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    • 2004
  • A method for driving and position sensing of TSRM(Toroidal Switched Reluctance Motor) using the search coil is presented in this paper. Position information of the rotor is essential for SRM drives. The rotor position sensor such as an opto-interrupter or high performance encoder is generally used for the estimation of rotor position. However, these discrete position sensors not only add complexity and cost to the system but also tend to reduce the reliability of the drive system. In order to solve these problems, in the proposed method, rotor position detection is achieved using the voltage waveforms induced by the time varying flux linkage in the search coils, and then the appropriate phases are excited to drive the SRM. But the search coil EMF is generated only when the motor rotates. Therefore the rotor position sensing method at standstill is also suggested.

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Detection of Rotor Position at Standstill for a TSRM Using Neural Network (신경망을 이용한 TSRM의 정지 시 회전자 위치 검출법)

  • Yang, Hyong-Yeol;Ryoo, Young-Jae;Lim, Young-Cheol
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.705-712
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    • 2004
  • In this paper, detection of rotor position at standstill of toroidal switched reluctance motor(TSRM) with built-in search coils using neural network is proposed. When search coils are used as a position sensor, it has many advantages like low cost, decrease in the volume, high robust characteristics and wide applications. However, the initial rotor position detection is very difficult because the search coil's EMF doesn't exist at standstill. In this paper, detection of initial rotor position of TSRM with built-in search coils using neural network is suggested. The experiment for the proposed method are presented. As a result of that, the accuracy and validity of the proposed method is verified.

Rotor Position Detection of CPPM Belt Starter Generator with Trapezoidal Back EMF using Six Hall Sensors

  • Xu, Jiaqun;Long, Feng;Cui, Haotian
    • Journal of Magnetics
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    • v.21 no.2
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    • pp.173-178
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    • 2016
  • Six-step commutation control widely used in brushless DC (BLDC) motor can be applied to consequent pole permanent magnet (CPPM) belt starter generator (BSG) with trapezoidal back electromotive force (EMF) in the starter state. However, rotor position detection with three Hall sensors in BLDC motor can hardly be employed in CPPM BSG due to asymmetric flux distribution in each pole side of CPPM BSG. This paper presents a low-cost rotor position detection method for CPPM BSG in which six Hall sensors are proposed to be used based on the analysis of flux distribution by 3D FEA. In the method, the six Hall sensors are divided into three groups and two signals in each group are combined through performing logic operations. In addition, offset angle between back EMF and the related Hall signal can be compensated by moving the Hall sensors. Experiments of a 2 kW CPPM BSG prototype have also been performed to verify the proposed method.

Sensorless speed control of switched reluctance motor using phase current detection and dwell angle control (상전류 검출 및 도통각 조정을 이용한 SRM 센서리스 속도제어)

  • 신규재;권영안
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.955-957
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    • 1998
  • Switched reluctance motor(SRM) has the advantages of simple structure, low rotor inertia, and high poer rate per unit volume. However, position sensor isessential in SRM in order to synchronize the phase excitation to the rotor position. The position sensors increase the cost of drive system, and tend to reduce system reliability. This paper investigtes the speed control of sensorless SRM. The proposed system consists of position detection circuit, dwell angle controller, digital logic commutator, PI speed controller and 4-phase inverter. The performances in the proposed system are verified through the experiment.

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Speed Control of 8/6 Switched Reluctance Motor Using New Rotor Position Detection Thechniques (새로운 회전자검출 방법에 의한 8/6 스위치드 리럭턴스 모터 속도 제어)

  • Park Y. R.;Jung D. Y.;Lee B. S.;Lee S. H.;Cheon D. J.
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.411-414
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    • 2002
  • This paper proposed new techniques of rotor position detection for Switched Reluctance Motor(SRM). This technique is very simple and easy to find out rotor position. The main idea uses the impulse responses which have different values between aligned and unaligned. In order to obtain the rotor position, the Impulse applied to the unenergized phases and their responses are analized to control the speed of SRM without shaft sensor, Experimental results verify the feasibility of the proposed method.

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