• 제목/요약/키워드: speed estimation error

검색결과 383건 처리시간 0.026초

센서리스 유도전동기를 위한 새로운 슬라이딩 모드 관측기의 설계 (Design of a New Adaptive Sliding Mode Observer for Sensorless Induction Motor Drive)

  • 김상민;한우용;김성중
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제52권10호
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    • pp.522-527
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    • 2003
  • This paper proposes a new speed and flux estimation method which has the robustness against the variation of the electrical parameters of the motor and the superiority in the dynamic characteristics. In the proposed method, the stator currents and the rotor fluxes are observed on the stationary reference frame using the sliding mode concept. And the rotor speed is estimated using the current estimation errors and the observed rotor fluxes based on the Lyapunov stability theory. Also a design method of the observer gain is proposed to minimize the effect of the speed estimation error on the rotor flux observation. The experimental results are shown to verify that the proposed method shows the excellent performances under the variations of motor resistance and inductance.

센서리스 유도전동기를 위한 개선된 적응 슬라이딩 모드 관측기의 설계 (Design of Adaptive Sliding Observer for Sensorless Induction Motor Drive)

  • 김상민;한우용;김성중;이창구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 B
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    • pp.1138-1141
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    • 2003
  • This paper proposes a new speed and flux estimation method which has the robustness against the variation of the electrical parameters of the motor and the superiority in the dynamic characteristics compared with the conventional sensorless schemes. In the proposed method, the stator currents and the rotor fluxes are observed on the stationary reference frame using the sliding mode concept. And the rotor speed is estimated using the current estimation errors and the observed rotor fluxes based on the Lyapunov stability theory. Also a design method of the observer gain is proposed to minimize the effect of the speed estimation error on the rotor flux observation. The experimental results verified that the proposed method shows more robust and improved performances than the previous estimation method under the variations of motor resistance and inductance.

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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.

Estimation of longitudinal velocity noise for rail wheelset adhesion and error level

  • Soomro, Zulfiqar Ali
    • Multiscale and Multiphysics Mechanics
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    • 제1권3호
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    • pp.261-270
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    • 2016
  • The longitudinal velocity (forward speed) having significant importance in proper running of railway wheelset on track, depends greatly upon the adhesion ratio and creep analysis by implementation of suitable dynamic system on contamination. The wet track condition causes slip and slide of vehicle on railway tracking, whereas high speed may also increase slip and skidding to severe wear and deterioration of mechanical parts. The basic aim of this research is to design appropriate model aimed estimator that can be used to control railway vehicle forward velocity to avoid slip. For the filtration of disturbance procured during running of vehicle, the kalman filter is applied to estimate the actual signal on preferered samples of creep co-efficient for observing the applied attitude of noise. Thus error level is detected on higher and lower co-efficient of creep to analyze adhesion to avoid slip and sliding. The skidding is usually occurred due to higher forward speed owing to procured disturbance. This paper guides to minimize the noise and error based upon creep coefficient.

Design of Sliding-mode Observer for Robust Speed Sensorless Induction Motor Drive

  • Son, Young-Dae;Lee, Jong-Nyun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.488-492
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    • 2004
  • In this paper, the design of a speed sensorless vector control system for induction motor is performed by using a new sliding mode technique based on current model flux observer. A current and flux observer based on the current estimation error is constructed. The proposed current observer includes a sliding mode function, which is derivative of the flux. That is, sliding mode observer which allows the estimation of both the rotor speed and flux based on the measurement of motor terminal quantities, would be proposed. And, a synergetic speed controller using the estimated speed signal is designed to stabilize the speed loop. Simulation results are presented to confirm the theoretical analysis, and to show the system performance with different observer gains and the influence of the motor parameter.

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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.

고속 Binary CDMA 시스템을 위한 채널 추정에 관한 연구 (A Study on Channel Estimation for High-speed Binary CDMA Systems)

  • 강성진
    • 한국항행학회논문지
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    • 제14권5호
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    • pp.677-683
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    • 2010
  • 본 논문에서는 고속 Binary CDMA 시스템에 적합한 채널 추정 방식을 제안하고 성능을 분석하였다. 고차 변조를 사용하는 고속 Binary CDMA에서는 프리앰블 구간 동안에 동화기가 충분히 수혐하지 못하면 BER 성능이 저하되기 때문에, 채널 추정을 통하여 최적의 동화기 계수를 결정해야한다. 본 논문에서는 프리엠블 구간에 CAZAC 수열이 반복되는 특징을 이용하여 복잡도는 조금 증가하면서 추정 성능을 향상시킬 수 있는 채널 추정 방식을 제안하였다. 시뮬레이션 결과로부터, 제안된 채널 추정 방식이 기존의 방식에 비해 성능 열화없이 간단하게 구현할 수 있음을 알 수 있다.

항체의 비행거리 정보를 이용한 운항 중 정렬 기법 연구 (A Study on In-Flight Alignment Using the Flight Distance of Vehicle)

  • 유해성
    • 한국군사과학기술학회지
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    • 제8권3호
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    • pp.5-10
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    • 2005
  • This paper presents the new in-flight alignment method using the flight distance of vehicle in order to improve the performance of the heading error estimation. In the proposed method, the Kalman filter having the difference between GPS and SDINS position as measurements is used for levelling of SDINS and heading error is estimated utilizing the flight distance information. It is shown in the simulation results that the in-flight method proposed in this paper has the high accuracy in heading error estimation and the heading error can be very quickly estimated at the high speed vehicle, compared with the existing method using the Kalman filter.

DSP-based Robust Nonlinear Speed Control of PM Synchronous Motor Using Adaptive and Sliding Mode Control Techniques

  • Baik, In-Cheol;Kyeong-Hwa;Kwan-Yuhl;Youn, Myung-Joong
    • Journal of Electrical Engineering and information Science
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    • 제3권2호
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    • pp.251-260
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    • 1998
  • A DSP-based robust nonlinear speed control of a permanent magnet synchronous motor(PMSM) which is robust to unknown parameter variations and speed measurement error is presented. The model reference adaptive system(MRAS) based adaptation mechanisms for the estimation of slowly varying parameters are derived using the Lyapunov stability theory. For the disturbances or quickly varying parameters. a quasi-linearized and decoupled model including the influence of parameter variations and speed measurement error on the nonlinear speed control of a PMSM is derived. Based on this model, a boundary layer integral sliding mode controller to improve the robustness and performance of the nonlinear speed control of a PMSM is designed and compared with the conventional controller. To show the validity of the proposed control scheme, simulations and experimental works are carried out and compared with the conventional control scheme.

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저속 센서리스 제어의 역기전력 추정 성능 향상을 위한 모터 파라미터 추정과 전압 오차의 개선 (Identification of Motor Parameters and Improvement of Voltage Error for Improvement of Back-emf Estimation in Sensorless Control of Low Speed Operation)

  • 김경훈;윤철;조내수;장민호;권우현
    • 전기학회논문지
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    • 제67권5호
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    • pp.635-643
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    • 2018
  • This paper propose a method to identify the motor parameters and improve input voltage error which affect the low speed position error of the back-emf(back electromotive force) based sensorless algorithm and to secure the operation reliability and stability even in the case where the load fluctuation is severe and the start and low speed operation frequently occurs. In the model-based observer used in this paper, stator resistance, inductance, and input voltage are particularly influential factors on low speed performance. Stator resistance can cause resistance value fluctuation which may occur in mass production process, and fluctuation of resistance value due to heat generated during operation. The inductance is influenced by the fluctuation due to the manufacturing dispersion and at a low speed where the change of the current is severe. In order to find stator resistance and inductance which have different initial values and fluctuate during operation and have a large influence on sensorless performance at low speed, they are commonly measured through 2-point calculation method by 2-step align current injection. The effect of voltage error is minimized by offsetting the voltage error. In addition, when the command voltage is used, it is difficult to estimate the back-emf due to the relatively large distortion voltage due to the dead time and the voltage drop of the power device. In this paper, we propose a simple circuit and method to detect the voltage by measuring the PWM(Pulse Width Modulation) pulse width and compensate the voltage drop of the power device with the table, thereby minimizing the position error due to the exact estimation of the back-emf at low speed. The suitability of the proposed algorithm is verified through experiment.