• 제목/요약/키워드: electrical parameter estimation

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Adaptive Vector Control for Induction Motor Using Parameter Estimation (매개변수 추정에 의한 유도전동기의 적응 벡터제어)

  • Lee, Y.J.;Kim, H.J.;Oh, W.S.;Kim, Y.M.
    • Proceedings of the KIEE Conference
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    • 1990.07a
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    • pp.363-366
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    • 1990
  • In the indirect vector control method, the rotor resistance variation caused by operating temperature change is an undesirable nature. A new adaptation algorithm to compensate for the rotor resistance change based on the on-line estimation of field vector which requires the measurements of stator voltage and rotor speed is presented in this paper. Also minimum variance controller is presented for the adaptive control performance. This algorithm has been tested by simulating the induction machine using a digital computer and the results are discussed.

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Angle-Range-Polarization Estimation for Polarization Sensitive Bistatic FDA-MIMO Radar via PARAFAC Algorithm

  • Wang, Qingzhu;Yu, Dan;Zhu, Yihai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.7
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    • pp.2879-2890
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    • 2020
  • In this paper, we study the estimation of angle, range and polarization parameters of a bistatic polarization sensitive frequency diverse array multiple-input multiple-output (PSFDA-MIMO) radar system. The application of polarization sensitive array in receiver is explored. A signal model of bistatic PSFDA-MIMO radar system is established. In order to utilize the multi-dimensional structure of array signals, the matched filtering radar data can be represented by a third-order tensor model. A joint estimation of the direction-of-departure (DOD), direction-of-arrival (DOA), range and polarization parameters based on parallel factor (PARAFAC) algorithm is proposed. The proposed algorithm does not need to search spectral peaks and singular value decomposition, and can obtain automatic pairing estimation. The method was compared with the existing methods, and the results show that the performance of the method is better. Therefore, the accuracy of the parameter estimation is further improved.

Practical Pinch Torque Detection Algorithm for Anti-Pinch Window Control System Application

  • Lee, Hye-Jin;Ra, Won-Sang;Yoon, Tae-Sung;Park, Jin-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2526-2531
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    • 2005
  • A practical pinch torque estimator based on the Kalman filter is proposed for low-cost anti-pinch window control systems. To obtain the accurate angular velocity from Hall-effect sensor measurements, the angular velocity calculation algorithm is executed with additional procedures for removing the measurement noises. Apart from the previous works using the angular velocity estimates and torque estimates for detecting the pinched condition, the torque rate is augmented to the system model and the proposed pinch estimator is derived by applying the steady-state Kalman filter recursion to the model. The motivation of this approach comes from the idea that the bias errors in torque estimates due to the motor parameter uncertainties can be almost eliminated by introducing the torque rate state. For detecting the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Simulation results are given to certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.

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A Study on the Off-Line Parameter Estimation for Sensorless 3-Phase Induction Motor using the D-Axis Model in Stationary Frame (정지좌표계 d축 모델을 이용한 위치센서 없는 3상 유도전동기의 오프라인 제정수 추정에 관한 연구)

  • Mun, Tae-Yang;In, Chi-Gak;Kim, Joohn-Sheok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.25 no.1
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    • pp.13-20
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    • 2020
  • Accurate parameters based on equivalent circuit are required for high-performance field-oriented control in a three-phase induction motor. In a normal case, stator resistance can be accurately measured using a measuring equipment. Except for stator resistance, all machine parameters on the equivalent circuit should be estimated with particular algorithms. In the viewpoint of traditional regions, the parameters of an induction motor can be identified through the no-load and standstill test. This study proposes an identification method that uses the d-axis model of the induction motor in a stationary frame with the predefined information on stator resistance. Mutual inductance is estimated on the rotational dq coordination similar to that in the traditional no-load experiment test. The leakage inductance and rotor resistance can be estimated simply by applying different voltages and frequencies in the d-axis model of the induction motor. The proposed method is verified through simulation and experimental results.

Analysis of Induction Motor Flux Observer using Parameter Sensitivity (파라메터 민감도를 이용한 유도전동기 자속 추정기 해석)

  • Nam, Hyun-Taek;Lee, Kyung-Joo;Kim, Jin-Kyu;Choi, Young-Tae;Choi, Jong-Woo;Kim, Heung-Geun
    • Proceedings of the KIEE Conference
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    • 2001.07b
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    • pp.1176-1178
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    • 2001
  • To obtain a high performance in a direct vector controlled induction machine, it is essential to correct estimation of rotor flux. The accuracy of flux observers for induction machines inherently depends on parameter sensitivity. This paper presents an analysis method for conventional flux observers using parameter Sensitivity. The Parameter sensitivity is defined as the ratio of the percentage change in the system transfer function to the percentage change of the parameter variation. We define the ratio between real flux and estimated flux as the transfer function, and analyzed a parameter sensitivity of this transfer function.

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Adaptive Decoupling for IPM Machine(ICCAS 2005)

  • Cho, Sung-Uk;Park, Seung-Kyu;Ahn, Ho-Kyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1617-1620
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    • 2005
  • The current control for interior permanent magnet machines is more complicate than surface permanent magnet machine because of its torque characteristic depending on the reluctance. For high performance torque control, it requires state decoupling between the d-current and q-current dynamics. However the variation of the inductances, which couples the state dynamics of the currents, makes the state decoupling difficult. So some decoupling methods have developed to cope this variations and each current can be regulated independently. This paper presents a novel approach for fully decoupling the states cross-coupling using parameter adaptation. The adaptation method is based on the error between reference currents and the currents with state decoupling which have to follow the references. This method is more object-oriented than the other online parameter estimation methods in IPM machine and other electrical machines

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Approximation of Pulse Transfer Function of Impulse Response Data (임펄스응답 데이타의 펄스전달함수의 근사)

  • Lee, Dong-Cheol;Bae, Jong-Il;Chung, Hyeng-Hwan
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.683-685
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    • 1999
  • As a method of obtaining pulse transfer function. transfer function of discrete-time from input-output data, there are method of obtaining unknown parameter of pulse transfer function from estimated impulse response before(1-3). There is no need to approximate to several meanings because of not being established algebraical relations between impulse response for estimation error and parameter of transfer function exactly. In this paper, I inquire the method[4] of obtaining the optimal pulse transfer function as a meaning of Hankel norm approximation from impulse response data and examine estimated property as computer simulation from this method.

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A Study on the Camera Calibration Algorithm using the Grid Type Frame with Different Line Widths (다른 선폭들로 구성된 격자형 교정판을 이용한 카메라 교정 알고리즘에 관한 연구)

  • Jeong, Jun-Ik;Han, Young-Bae;Rho, Do-Hwan
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2333-2335
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    • 1998
  • Recently, the development of computer achieves a system which is similar to the mechanics of human visual system. The 3D measurement using monocular vision system must be achieved a camera calibration. So far, the camera calibration technique required reference target in a scene. But, these methods are inefficient because they have many calculation procedures and difficulties in analysis. Therefore, this paper proposes a native method that without reference target in a scene. We use the grid type frame with different line widths. This method uses vanishing point concept that possess a rotation parameter of the camera and perspective ration that perfect each line widths into a image. We confirmed accuracy of calibration parameter estimation through experiment on the algorithm with a grid paper with different line widths.

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A self tuning PID controller with minimum variance (최소분산 자기동조 PID제어기)

  • Jo, Won-Cheol;Jeon, Gi-Jun
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.1
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    • pp.14-20
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    • 1996
  • This paper presents a self tuning method of a velocity type PID controller for minimum or non-minimum phase systems with time delays. The velocity type PID control structure is determined in the process of minimizing the variance of the auxilliary output, and self tuning effect is achieved through the recursive least square algorithm at the parameter estimation stage and also through the Robbins-Monro algorithm at the stage of optimizing a design parameter. This method is simple and effective compared with other existing methods[1,2]. Numerical examples are included to illustrate the procedure and to show the performance of the control system.

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Design of a Surface-Mounted PMSM Current Controller Using Uncertainty Estimation with a PI Observer (PI 관측기의 불확실성 추정을 이용한 표면부착형 영구자석 동기기의 전류 제어기 설계)

  • Kim, In-Hyuk;Choi, Dae-Sik;Son, Young-Ik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.5
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    • pp.1011-1016
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    • 2011
  • This paper presents a robust current controller for a surface-mounted permanent magnet synchronous motor(SPMSM) by using a PI observer. The decoupling PI(proportional-integral) controller combined with an additional feed-forward compensation has been used for the current controller. The classical feed-forward compensation using velocity information and system parameters is not expected to achieve a robust performance against parameter uncertainties. This paper has adopted a PI observer for the feed-forward compensation to cope with parameter uncertainties without using velocity information. A simple PI observer has been designed to compensate the disturbances that represent velocity coupled terms and parameter uncertainties. Experimental results as well as computer simulations with 630W SPMSM confirm that the proposed approach can deal with the effects of the disturbance and improve the control performance.