• Journal of Magnetics
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• 제19권1호
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• pp.90-100
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• 2014

Position estimation that uses only active phase voltage and current is presented, to perform high accuracy position sensorless control of a SRM drive. By extracting the amplitude of the first switching harmonic terms of phase voltage and current for a PWM period through Fast Fourier Transform (FFT), the flux-linkage and position are estimated without external hardware circuitry, such as a modulator and demodulator, which result in increased cost, as well as large position estimation error, produced when the motional back EMF is ignored near zero speed. A two-phase SRM drive system, consisting of an asymmetrical converter and a conventional closed-loop PI current controller, is utilized to validate the performance of the proposed position estimation scheme in comprehensive operating conditions. It is shown that the estimated values very closely track the actual values, in dynamic simulations and experiments.

• 항공우주기술
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• 제6권1호
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• pp.237-244
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• 2007

표적위치 추정은 정찰용 무인기의 주요 기능 중 한가지로, 다양한 용도로 활용되고 있으나 랜덤 측정 오차로 인하여 잡음이 심한 표적위치가 추정되는 것이 일반적이다. 본 논문에서는 무인기 위치 및 자세와 광학장비 시선벡터에 대하여 칼만필터를 이용하여 최적의 상태를 추정한 후 이를 이용하여 표적위치를 계산함으로써 표적위치 오차를 감소시키는 방안을 제안하였다.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.829-837
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• 2018

In this paper, a flux linkage model based on four magnetization curves fitting is proposed for three-phase 12/8 switched reluctance motor (SRM), with the analysis of the basic principle of flux detection method and function analysis method. In the model, the single value function mapping relationship between position angle and flux is established, which can achieve a direct estimation of rotor position. The realization scheme of SRM indirect position detection system is presented. It is proved by simulation and experiment that the proposed scheme is suitable for rotor position detection of SRM, and has high accuracy of position estimation.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제48권11호
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• pp.625-631
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• 1999

In this paper, an accurate position control using new estimator which estimates the instantaneous speed and accurate position with a low precision shaft encoder is proposed. The overall performance of position control system is strongly depend on the accuracy of the position information and the performance of the speed controller in low speed range. In this paper the position and speed of the motor are obtained from Kalman filter which is an optimal full order estimator. This estimator has good performance even in very low speed range include standstill. The simulation and experimental results confirm the validity of the proposed estimation and control scheme.

• 한국지리정보학회지
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• 제21권2호
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• pp.24-33
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• 2018

무인항공사진측량(UAV Photogrammetry)의 대표적인 성과물인 DSM(Digital Surface Model)과 정사영상은 고품질 공간정보 데이터로써 최근 공간정보산업 여러 분야에서 다양하게 활용되고 있다. 하지만 무인항공사진측량은 무인항공기체의 촬영고도, 촬영 카메라의 캘리브레이션, 촬영 당시의 기상조건, 기체에 사용된 GPS/IMU의 성능, 지상기준점의 개수 등 여러 가지 요인으로 인해 성과물의 품질이 저하되는 문제점을 가지고 있다. 이에 본 연구에서는 지상기준점 개수 변화에 따른 무인항공사진측량 성과물의 위치정확도를 분석하고자 하였다. 실험에 사용한 기체는 고정익 기체이며, 촬영고도는 130m와 260m로 설정하였다. 사용한 지상기준점은 총 9개이며 각각 9, 8, 5, 4개를 사용하였다. 검사점은 연구 대상지에 골고루 분포된 총 10개의 검사점을 사용하였으며, RMSE 분석방법을 사용하여, 정사영상에서는 XY RMSE를 DSM에서는 Z RMSE를 비교 분석하였다. 또한, 정사영상의 해상도가 평면위치 정확도 검증시 작업자의 판단에 영향을 미친다고 판단하여 Siemens star 타겟을 이용하여 시각적해상도를 분석하였다. 분석결과, 지상기준점의 개수가 달라지는 경우 평면위치 정확도의 변화량보다 수직위치 정확도의 변화량이 더 큰 결과를 나타내었으며 촬영고도가 높을수록 지상기준점의 개수의 변화가 위치 정확도에 미치는 영향이 큰 결과를 나타내었다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.333-335
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• 2006

Position of surface objects can be fixed in many ways. The most popular radionavigational systems, including satellite systems, make possible obtaining nearly continuous and very precise ship's position. However, under the water application of radionavigational systems is impossible. Underwater navigation requires other tools and solutions then these encountered in surface and air navigation. In underwater environment vehicles and submarines, operate that have to possess alternative navigational systems. Underwater vehicles, in order to perform their tasks require accurate information about their own, current position. At present, they are equipped with inertial navigational systems (INS). Accuracy of INS is very high but in relatively short periods. Position error is directly proportional to time of working of the system. The basic feature of INS is its autonomy and passivity. This characteristic mainly decides that INS is broadly used on submarines and other underwater vehicles. However, due to previously mentioned shortcoming i.e. gradually increasing position error, periodical calibration of the system is necessary. The simplest calibration method is surface or nearly surface application of GPS system. Another solution, which does not require interruption of performed task and emergence on the surface, is application of comparative navigation technique. Information about surrounding environment of the ship, obtained e.g. by means sonic depth finder or board sonar, and comparing it with accessible pattern can be used in order to fix ship's position. The article presents a structure and a description of working of underwater vehicle navigation system simulator. The simulator works on the basis of comparative navigation methods which exploit in turn digital images of echograms and sonograms. The additional option of the simulator is ability to robust estimation of measurements. One can do it in order to increase accuracy of position fixed with comparative navigation methods application. The simulator can be a basis to build future underwater navigation system.

• 한국항해학회지
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• 제7권2호
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• pp.1-45
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• 1983

This paper concerns the applications of the Kalman filter to navigation and the develment of computer programs of the navigational calculations. Methods to apply the Kalman filter to celestial fix, fix by cross bearing and cocked hat are proposed, and numerical simulations under various noise conditiions are conducted. The accuracy of the optimal positions obtained by the Kalman filter is compared with that of the fixed positiions by radial error method. In the case of celestial fix, an algorithm to estimate the optimal positions by using the linear Kalman filter is presented. The optimal positions by the Kalman filter are compared with the running fixes and with the most probable positions obtained from a single line of position. It is confirmed that the resutls of the proposed method are more accurate than the others. In practical piloting, bearings are generally measured intermittently and the measurement process is nonlinear. It is, therefore, difficult for us to apply the Kalman filter to fix by cross bearing. In order to be used in such an unfavorable case, the extended Kalman filter is revised and the aplicability of the revised extended Kalman filter is checked by numerical simulation under various noise conditions. In a cocked hat, an inside or outside fix is dependent only upon azimuth spread, if the error of each line of position is assumed to be equal both in magnitude and sign. A new technique of selecting a ship's position between an inside fix and an outside fix in a cocked hat by using fix determinant derived from the equation of three lines of position is also presented. The relations among the optimal position by Kalman filter, incentre (or excentre) and random error centtre of the cocked hat are discussed theoretically and the accuracy of the optimal position is compared with that of the others by numerical simulation.

• 한국항행학회논문지
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• 제25권6호
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• pp.441-449
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• 2021

지능형 이동체 시스템 발달에 따라서, 보다 정확한 위치 정보 추정 기술에 대한 요구가 증가하고 있다. 특히, 실내에서 사용되는 이동 로봇에게 주어진 일을 정해진 위치에서 수행할 때에는 보다 정확한 위치 추정에 대한 성능을 필요로 한다. 따라서, 이 논문에서는 고정형 또는 이동형 사물에 적용 가능한 진보된 위치 추정 방법을 제안한다. 제안 방법은 미리 설치된 블루투스 비콘 신호로부터 위치 추정 결과를 칼만 필터의 관찰 신호로 사용한다. 또한, 센서의 위치와 각도에 따라서 결정되는 각 방향의 중력 가속도를 추정하기 위해서, 롤(roll)과 피치(pitch) 각도를 먼저 계산하고, 이 결과를 자기장 센서 출력과 결합하여 요(Yaw) 각도를 추정함으로써,이동체의 진행 방향을 정확히 추정한다. 이를 기반으로 이동체의 제어 입력이 되는 가속도 신호를 정확히 계산함으로써, 칼만 필터의 성능을 향상시키는 방법을 제안한다. 제안 방법의 성능은 고정 상태와 이동 상태로 나누어 평균 위치 오차를 계산하여 기존의 칼만 필터와 비교시 위치 오차를 크게 향상시킴을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.648-651
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• 1996

Samsung Electronics has developed high performance velocity and position controller for induction motors, and succeeded in mass production for the first time in Korea. Dynamic performance and final control accuracy of the controller are equivalent to those of AC servo motor controller. At present, we adopted the controller as spindle motor drive for Samsung CNC systems, and expect its wide use in industry as general purpose velocity and position controller for induction motor.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.121-124
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• 1997

In this paper, applications of self-recurrent neural networks based of adaptive controller to position control of flexible robot link are considered. The self-recurrent neural networks can be used to approximate any continuous function to any desired degree of accuracy and the weights are updated by feedback-error learning algorithm. Therefore, a comparative analysis was mode with linear controller through an simulation. The results are presented to illustrate the advantages and improved performance of the proposed position tracking controller over the conventional linear controller.