• Title/Summary/Keyword: Tracking Position

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Precision Position Control of a Fast Tool Servo Using Piezoelectric Actuators (압전 구동기를 이용한 미소절삭 공구대의 정밀위치제어)

  • Song, J.W.;Kim, S.H.;Kim, H.S.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.10
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    • pp.50-57
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    • 1997
  • A fast tool servo (FTS) for diamond turning improves machining accuracy by quickly compensating relative position errors between the cutter and the workpiece. Therefore, the FTS needs to have large band-width with good tracking performance. Serious hysteresis nonlinearity of PZT actuators used in the FTS, however, deteriorates fast tracking performance. Several types of feedforward hysteresis compensators and feedback controllers are tested to improve tracking performance. Through simulations and experiments, control structure which yields the smallest tracking error is selected. The maximum peak to peak error in tracking a sinusoidal waveform is reduced by one fifth compared to that of a regular PID controller.

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A POSITION TRACKING ALGORITHM WITH RADAR MEASUREMENT

  • Lim You-Chol;Ma Keun-Su;Lee Jae-Deuk
    • Bulletin of the Korean Space Science Society
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    • 2004.10b
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    • pp.332-336
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    • 2004
  • This paper describes the remote tracking algorithm using measurements (azimuth, elevation, and slant range) of the radar ground station. Kalman filter model for noise reduction of the measured information is first derived by linearizing with respect to angle, angular rate, range, and range rate. And then a tracking algorithm is introduced to calculate the position of the vehicle during in-flight. The simulation results show that the algorithm is practical and effective enough tracking position of the vehicle in considerably less error.

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Yaw Angle Command Generation and Adaptive Fuzzy Control for Automatic Route Tracking of Ships (선박자동항로 추적을 위한 회두각 명령의 생성과 적응 퍼지제어)

  • 이병결;김종화
    • Journal of Advanced Marine Engineering and Technology
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    • v.25 no.1
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    • pp.199-208
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    • 2001
  • In this paper, an automatic route tracking algorithm using the position variables and the yaw angle of a ship is suggested, Since most autopilot systems paly only a role of course-keeping by integrating the gyrocompass output, they cannot cope with position errors between the desired route and real route of the ship resulted from a drifting and disturbances such as wave, wind and currents during navigation. In order for autopilot systems to track the desired route, a method which can reduce such position errors is required and some algorithms have been proposed[1,2]While such were turned out effective methods, they have a shortage that the rudder control actions for reducing the position errors are occurred very frequently. In order to improve this problem it is necessary to convert that error into the corresponding yaw angle and necessary to treat only yaw angle control problem. To do this a command generation algorithm which converts the rudder angle command reducing the current position error into they yaw angle command is suggested. To control the ship under disturbances and nonlinearities of the ship dynamics, the adaptive fuzzy controller is developed. Finally, through computer simulations for two ship models, the effectiveness of the suggested method and the possibility of the automatic route tracking are assured.

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

  • Lee Jong-Kun;Seok Jul-Ki;Lee Dong-Choon;Kim Heung-Geun
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.11
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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.

A New Scheme Based On Multiple Antennas For Tracking Illegal Small Drones (다중 안테나 기반의 불법 소형 드론 추적 성능 개선 기법)

  • Kim, Ryun Woo;Ryu, Jong-Yeol;Ban, Tae Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.7
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    • pp.1000-1003
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    • 2021
  • In this paper, we investigate how to track illegal drones by using communication signal received from illegal drones, which is a promising candidate position tracking scheme for anti-drone systems, and is particularly effective in tracking small illegal drones in urban areas. We propose an enhanced tracking scheme using multiple antennas to improve the performance of tracking by reducing the error of position tracking. In the proposed tracking scheme, a tracker is equipped with four receive antennas that are evenly spaced 90 degrees apart, and received signal strength indicators (RSSIs) received by four receive antennas are pre-averaged before being used to calculate the distance between tracker and target. Our numerical results show that the proposed scheme outperforms the conventional scheme in terms of accuracy.

Control of a Novel PV Tracking System Considering the Shadow Influence (그림자 영향을 고려한 새로운 태양광 추적시스템 제어)

  • Park, Ki-Tae;Choi, Jung-Sik;Chung, Dong-Hwa
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.6
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    • pp.994-1002
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    • 2008
  • In this paper a novel tracking system is described, regarding the influence of shadow between array, aimed at improving the efficiency of PV tracking system. Comparing with a building site versus capacity power, domestic solar powers have a limited siting. Therefore, each array interferes with the shadow of other arrays. The loss by influence of those shadow can be compensated for by means of control algorithm of the tracking device. The paper suggests a method controlling an altitude for length which is received the shadow influence of PV array. By using an azimuth of current solar position and the length between arrays, the controller of tracking device is able to calculate the length between actual arrays and make a comparison of the shadow length at a specific time with the length between arrays. When the shadow length is longer than the length between arrays, the controller of tracking device can adjust a position by compensating error altitude of the length between arrays at an altitude of current solar position. In the paper, we develop the control algorithm able to minimize the loss caused by the influence of shadow on the PV tracking system, and compared this with conventional output system. The controller has been tested in the laboratory with proposed algorithm and shows excellent performance.

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

  • Lee, Jong-Kun;Seok, Jul-Ki;Lee, Dong-Choon
    • Proceedings of the KIEE Conference
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    • 2003.04a
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    • pp.176-178
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    • 2003
  • 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 which 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 aero. For zero and low speed operation, the PI gains of rotor position tracking controller have a variable structure. The PI tuning formulas are derived by analyzing this control system using the frequency domain specifications such as phase margin and bandwidth assignment.

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Head tracking system using image processing (영상처리를 이용한 머리의 움직임 추적 시스템)

  • 박경수;임창주;반영환;장필식
    • Journal of the Ergonomics Society of Korea
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    • v.16 no.3
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    • pp.1-10
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    • 1997
  • This paper is concerned with the development and evaluation of the camera calibration method for a real-time head tracking system. Tracking of head movements is important in the design of an eye-controlled human/computer interface and the area of virtual environment. We proposed a video-based head tracking system. A camera was mounted on the subject's head and it took the front view containing eight 3-dimensional reference points(passive retr0-reflecting markers) fixed at the known position(computer monitor). The reference points were captured by image processing board. These points were used to calculate the position (3-dimensional) and orientation of the camera. A suitable camera calibration method for providing accurate extrinsic camera parameters was proposed. The method has three steps. In the first step, the image center was calibrated using the method of varying focal length. In the second step, the focal length and the scale factor were calibrated from the Direct Linear Transformation (DLT) matrix obtained from the known position and orientation of the camera. In the third step, the position and orientation of the camera was calculated from the DLT matrix, using the calibrated intrinsic camera parameters. Experimental results showed that the average error of camera positions (3- dimensional) is about $0.53^{\circ}C$, the angular errors of camera orientations are less than $0.55^{\circ}C$and the data aquisition rate is about 10Hz. The results of this study can be applied to the tracking of head movements related to the eye-controlled human/computer interface and the virtual environment.

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Efficiency Analysis Solar Cell of the Dynamic Boat's by SPA (SPA에 의한 동적인 보트의 태양전지 효율 분석)

  • Han, Jong-Ho;Lee, Jang-Myung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.8
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    • pp.1529-1536
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    • 2011
  • Recently, worldwide government policy is pursuing saving energy and preservation. add to this, the solar cells are getting the spotlight nonpolluting energy source, using a variety of products for solar cell. in this paper, we'll make solar tracking system for suitable of dynamic boat. we knew that general boats are using fixed solar cell, it's first time to use tracking system of solar cells for boats so it is hard to application. To solve this problem in this paper we use to a magnetic compass and GPS for suitable solar tracking system of dynamic movement and to analyze fixed and tracking solar system. frist. solar tracking device is designed two-axis control system. one-axis control system is taken a magnetic compass for making efficiency defence solar tracking sensor, two-axis control system apply GPS latitude and longitude data for SPA(Solar position algorithm) so we know the azimuth and altitude. it analyze data value of accuracy comparison from result. so the proposed algorithm confirm to have validity.

Improvement on the Vehicle Positioning Accuracy Using Differential Method for Vehicle Tracking (차량 추적 시스템에서 차분기법을 이용한 정밀도 향상에 관한 연구)

  • 장경일;이원우;길계환;김용윤;황춘식
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.1
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    • pp.16-25
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    • 1997
  • This paper shows the development of the high accuracy vehicle positioning algorithm using the differential technique in vehicle tracking systems form the existing vehicle position which is acquired from the global positioning system (GPS). The control center receives the satellite ephemerise data and pseudorange correction from the reference station, and vehicle position from the moving vehicle. The pseudorange is calculated with the satellite position and the vehicle position, and corrected by pseudorange correction. Using this corrected pseudorange and kalman filter, more improved vehicle positioning data were obtained.

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