• Title/Summary/Keyword: the Speed estimation

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약계자영역에서 유도전동기의 속도센서리스 벡터제어 (Speed Sensorless Vector Control of Induction Machine in the Field Weakening Region)

  • 신명호;현동석
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제50권10호
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    • pp.508-512
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    • 2001
  • This paper investigates the problem of the speed estimation of conventional speed sensorless stator flux-oriented induction machine drive in the field weakening region and proposes a new speed estimation scheme to estimate speed exactly in transients in the field weakening region. The error included in the estimated rotor speed is removed by not a low pass filter but Kalman filter so that exact speed estimation in transients is achieved.

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피드포워드적 토크속응제어법을 이용한 유도전동기의 저속영역 속도 추정 (Speed Estimation Based Quick Torque Control of Induction Motors in the Very Low Speed Region)

  • 정석권;변정환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 F
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    • pp.2172-2174
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    • 1998
  • In this paper, a speed estimation based on the quick torque control is proposed to realize speed sensorless control in a full range of induction motors. The proposed method can be formulated simply from a motor circuit equation and conducted easily by detecting primary motor currents and a voltage command at every sampling time. Since the method need not the differential values of primary currents in an arithmetic of a speed, it can be expected to improve the precision of speed estimation in a very low speed area, especially. Some numerical simulations were conducted with the assumption of using a Pulse Width Modulation voltage source inverter.

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가속도 전향보상을 이용한 유도전동기의 속도제어 (Speed Control of an Induction Motor using Acceleration Feedforward Compensation)

  • 김상훈;이재왕
    • 산업기술연구
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    • 제20권B호
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    • pp.175-182
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    • 2000
  • In this paper, a novel speed control strategy using an acceleration feedforward compensation by the estimation of the system inertia is proposed. With the proposed method, the enhanced speed control performance can be achieved and the speed response against the disturbance torque can be improved for the vector-controller induction motor drive systems in which the bandwidth of the speed controller cannot be made large enough. The experimental results confirm the validity of the proposed strategy.

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가변속 CMG를 장착한 위성의 각속도 추정 및 2축 자세제어 (Angular Speed Estimation and Two-Axis Attitude Control of a Spacecraft Using a Variable-Speed Control Moment Gyroscope)

  • 진재현
    • 제어로봇시스템학회논문지
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    • 제16권11호
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    • pp.1104-1109
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    • 2010
  • This paper deals with the attitude control of an underactuated spacecraft that has fewer than three actuators. Even though such spacecrafts are known as uncontrollable, restricted missions are possible with controlling two-axis attitude angles. A variable speed control moment gyroscope is considered as an actuator. It is a kind of momentum exchange device and it shows highly nonlinear dynamical properties. Speed commands are generated by kinematic equations represented by Euler angles. A control law, that is designed to make a spacecraft follow the speed commands, is derived by the backstepping method. Angular speeds are estimated from the attitude measurements. Several estimation methods have been compared.

약계자 영역에서 유도전동기의 속도센서리스 벡터제어 (Speed Sensorless Vector Control of Induction Machine in the Field Weakening Region)

  • 신명호;현동석
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 전력전자학술대회 논문집
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    • pp.405-408
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    • 2001
  • This paper investigates the problem of the speed estimation of conventional speed sensorless stator flux-oriented induction machine drive in the field weakening region and proposes a new speed estimation scheme to estimate speed exactly in transients in the field weakening region. The error included in the estimated rotor speed is removed by not a low pass filter but Kalman filter.

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다중모델 칼만 필터를 이용한 무추력 비행체의 대기속도 추정 (Robust Airspeed Estimation of an Unpowered Gliding Vehicle by Using Multiple Model Kalman Filters)

  • 진재현;박정우;김부민;김병수;이은용
    • 제어로봇시스템학회논문지
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    • 제15권8호
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    • pp.859-866
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    • 2009
  • The article discusses an issue of estimating the airspeed of an autonomous flying vehicle. Airspeed is the difference between ground speed and wind speed. It is desirable to know any two among the three speeds for navigation, guidance and control of an autonomous vehicle. For example, ground speed and position are used to guide a vehicle to a target point and wind speed and airspeed are used to maximize flight performance such as a gliding range. However, the target vehicle has not an airspeed sensor but a ground speed sensor (GPS/INS). So airspeed or wind speed has to be estimated. Here, airspeed is to be estimated. A vehicle's dynamics and its dynamic parameters are used to estimate airspeed with attitude and angular speed measurements. Kalman filter is used for the estimation. There are also two major sources arousing a robust estimation problem; wind speed and altitude. Wind speed and direction depend on weather conditions. Altitude changes as a vehicle glides down to the ground. For one reference altitude, multiple model Kalman filters are pre-designed based on several reference airspeeds. We call this group of filters as a cluster. Filters of a cluster are activated simultaneously and probabilities are calculated for each filter. The probability indicates how much a filter matches with measurements. The final airspeed estimate is calculated by summing all estimates multiplied by probabilities. As a vehicle glides down to the ground, other clusters that have been designed based on other reference altitudes are activated. Some numerical simulations verify that the proposed method is effective to estimate airspeed.

TWO KINDS OF STATIC AND DYNAMIC STATE ESTIMATION METHODS BY USING WIND SPEED INFORMATION IN ENVIRONMENTAL LOW-FREQUENCY NOISE MEASUREMENT

  • Takakuwa, Y.;Ohta, M.;Nishimura, M.;Minamihara, H.
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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    • pp.806-811
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    • 1994
  • Two kinds of static and dynamic state estimation methods are newly discussed for the problem of the measurement disturbance of environmental low-frequency noise in the presence of wind-induced noise. First, the probability characteristics of wind-induced noise are discussed in the form of probability distribution conditioned by wind speed, based on the simultaneous observation of the wind-induced noise and wind speed near a microphone. Next, especially form the viewpoint of simplicity for practical use, two kinds of static and dynamic state estimation methods are discussed. The static estimation method using the information on wind speed is fundamentally supported by the conservation principle of energy sum. The dynamic one is the method by using a recursive digital filter with the parameters successively renewed by the information on wind speed. This can be also simplified by using well-know Kalman filter under the assumption of the Gaussian distribution. The effectiveness of proposed two estimation methods are shown through experiments under a breezy condition in the open filed.

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적응 관측기를 이용한 영구자석 동기전동기의 센서리스 제어 (Sensorless Control of PM Synchronous Motor Using Adaptive Observer)

  • 홍찬호;윤명중
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1997년도 전력전자학술대회 논문집
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    • pp.60-63
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    • 1997
  • A new approach to the position sensor elimination of PM synchronous motor drives is presented in this study. Using the position sensing characteristics of PMSM itself, the actual rotor position as well as the machine speed can be estimated by adaptive flux observer and used as the feedback signal for the vector controlled PMSM drive. The adaptive speed estimation is achieved by model reference adaptive technique. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. In order to verify the effectiveness of the proposed scheme, computer simulations are carried out for the actual parameters of a PM synchronous motor and the results well demonstrate that the proposed scheme provides a good estimation value of the rotor speed without mechanical sensor. It is also shown that the actual rotor position as well as the machine speed can be achieved under the variation of the magnet flux linkage. Since the flux linkages are estimated by the adaptive flux observer and used for the identification of the rotor speed, robust estimation of the rotor speed can be performed.

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종속형 SOGI 기반 DFIG 풍력터빈의 개선된 회전자 속도 추정 (Improved Rotor Speed Estimation in DFIG Wind Turbine Systems Based on Cascaded SOGI)

  • 누옌안탄;이동춘
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2020년도 전력전자학술대회
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    • pp.393-394
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    • 2020
  • In this paper, an improved rotor speed estimation in DFIG wind turbine systems based on a cascaded SOGI is proposed. Due to excellent harmonics and DC offset rejection capability of the cascaded SOGI, the accurate rotor speed estimation can be achieved despite the harmonics and sensing offset in DFIG currents. The simulation results have verified the validity of proposed method.

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자속관측기를 이용한 유도 전동기 자계 Orientation형 센서리스 벡터제어 (Field Oriented Vector Control of Induction Motor without Speed Sensor Using Flux Observer)

  • 손의식;홍순일
    • Journal of Advanced Marine Engineering and Technology
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    • 제27권1호
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    • pp.100-107
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    • 2003
  • This study was to control magnetic field orientation-typed sensorless vector control by applying the theory of a rotor flux observer to drive an induction motor. This research suggested a new speed estimation method that estimates speed with the rotor flux obtained by using a flux observer and the variable of state current detected by a current sensor without a speed sensor. Because the speed estimation method is independent from the motor constants, it is not necessary to control the gain of the parameters and the algorithm is simple. In the findings of the study, the researcher was convinced of the control function and the possibility of realization in the simulation experiment of sensorless vector control system by using DSP(Digital Signal Prosessor).