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도시형 및 중고속 자기부상열차 부상ㆍ안내 제어 시스템의 주회로 이중화 방안
국윤상(Yoon-Sang Kook),장경현(Kyung-Hyun Jang),이상석(Sang-Suk Lee),이경복(Kyoung-Bok Lee),박도영(Doh-Young Park) 대한전기학회 2016 대한전기학회 학술대회 논문집 Vol.2016 No.3
도시형 및 중고속 자기부상열차 부상·안내 제어시스템 성능개선에 관한 연구내용으로 현재 영종도에 시험운행중인 부상제어 시스템이 단일 제어기로 전력회로부 이중화 설계 및 제작이 되어 있지 않다. 그러므로 차량 운행시 전력회로부인 주회로의 고장으로 부상실패에 대한 차량의 안정성과 신뢰성을 향상시킬 필요성이 있다. 또한 추진장치의 추진력 변동에 따른 수직력 변동을 고려하여 전자석 부상제어가 가능하도록 개발되어야 한다.
김윤호,국윤상 중앙대학교 기술과학연구소 1997 기술과학연구소 논문집 Vol.27 No.-
본 논문에서는IPMSM의 속도를 추정하기 위한 새로운 센서리스 제어 알고리즘을 제안하였다. 제안된 알고리즘은 기존의 복잡성과 계산량을 줄임으로써 실제 현장에 적용하기 쉽도록 하였다. 또한 회전각 보정 알고리즘을 추가함으로써 초기 위치에 관계없이 전동기의 회전자 위치를 추정할 수 있음을 시뮬레이션과 실험을 통하여 검증하였다. To control the speed of IPMSM drives it is necessary to know the speed and the rotor position. this is normally done by measurement of this values with electromechenical sensors. In this paper, a new approach to the position elimination method for the high performance variable speed IPMSM drives with the current controlled PWM technique is presented. For the high performance drive capability in the speed region, a Extended Kalman filter algorithm is adopted to estimate the rotor position as well as the angular velocity for the practical sensorless IPMSM drives. The high performance drive characteristics of the proposed method are verified using the wide simulation and experiment.
공공데이터를 활용한 선박 통행량 및 해양기상정보의 수중 주변소음에 대한 영향성 분석
김용국,국영민,김동관,김규철,윤상기,최창호,김홍국,Kim, Yong Guk,Kook, Young Min,Kim, Dong Gwan,Kim, Kyucheol,Youn, Sang Ki,Choi, Chang-Ho,Kim, Hong Kook 한국음향학회 2020 韓國音響學會誌 Vol.39 No.6
In this paper, we analyze the influences of ship traffic and marine weather information on underwater ambient noise. Ambient noise is an important environmental factor that greatly affects the detection performance of underwater sonar systems. In order to implement an automated system such as prediction of detection performance using artificial intelligence technology, which has been recently studied, it is necessary to obtain and analyze major data related to these. The main sources of ambient noise have various causes. In the case of sonar systems operating in offshore seas, the detection performance is greatly affected by the noise caused by ship traffic and marine weather. Therefore, in this paper, the impact of each data was analyzed using the measurement results of ambient noise obtained in coastal area of the East Sea of Korea, and public data of nearby ship traffic and ocean weather information. As a result, it was observed that the underwater ambient noise was highly correlated with the change of the ship's traffic volume, and that marine environment factors such as wind speed, wave height, and rainfall had an effect on a specific frequency band.
DSP를 이용한 비선형 모델을 갖는 직류 전동기의 센서없는 자기동조 적응제어
김윤호,국윤상,유연식 한국조명전기설비학회 1995 조명.전기설비 Vol.9 No.6
In this study, self-tuning adaptive control using state observer is developed. Self-tuning adaptive controller that estimates the parameters of the system in real time and generates the optimal control signals has robust characteristic about varying load and external disturbances. In addition, state observer without sensors is applied, thus the control can be performed more quickly and exactly. Since chopper is used commonly in practical drives, the characteristics of the chopper are included in state observer algorithm, which, in turn, makes the system exact estimation. Since series type DC motor has nonlinear models, linearizing approach are investigated. to realize the proposed algorithm it requires fast calculation in real time. TMS320C31, digital signal processor, is applied to realized the adaptive control algorithms.
브러시리스 직류전동기를 위한 센서리스 제어 방식에 관한 연구
김윤호,조병국,국윤상 한국조명전기설비학회 1995 조명.전기설비 Vol.9 No.4
Brushless DC Motor (BDCM) is widely used in the industry such as a variable speed motor in a compressor for room air conditioners, because the motor can be easily controlled and operated over a wide speed range. The system to drive BDCM needs encoder that senses rotor position. Gut in a certain application, the position sensor has to be avoided. In the paper, various position sensorless drive systems for BDCM are investigated and critically evaluated, so that the effective method of sensorless control can be selected. Out of these methods, the freewheeling diode current sensing has many advantages. For example, the simple starting procedure makes it possible to perform sensorless control even in low speed. So the hardware design for this method has been carried out and the system has been implemented using DSP. The experimental results verified that the freewheeling diode current sensing approach has advantages in starting procedure and low speed sensing.
유도전동기의 속도 센서리스 제어를 위한 신경회로망 알고리즘의 추정 특성 비교
이경훈(Kyoung-Hun Lee),국윤상(Yoon-Sang Kook),최원범(Yoon-Ho Kim),김윤호(Won-Byum Choi) 전력전자학회 1999 전력전자학술대회 논문집 Vol.1999 No.7
This paper presents a newly developed speed sensorless drive using Neural Network algorithm Neural Network algorithm can be divided into three categories. In the first one, a Back Propagation-based NN algorithm is well-known to gradient descent method In the second scheme, a Extended Kalman Filter-based NN algorithm has just the time varying learning rate In the last scheme, a Recursive Least Square-based NN algorithm is faster and more stable than the classical back-propagation algorithm for training multilayer perceptrons. The number of iterations reqwred to converge and the mean-squared error between the desired and actual outputs is compared with respect to each method. The theoretical analysis and experimental results are discussed.
RLS 알고리즘을 이용한 유도전동기의 속도 센서리스 운전
김윤호(Yoon-Ho Kim),국윤상(Yoon-Sang Kook) 전력전자학회 1998 전력전자학술대회 논문집 Vol.- No.-
The proposed algorithm based on the RLS has just the time-varying learning rate, while the well-known back-propagation (or generalized delta rule) algorithm based on gradient descent has a constant learning rate. The number of iterations required by the new algorithm to converge is less than that of the back-propagation algorithm. The RLS based on NN is used to adjust the motor speed so that the neural model output follows the desired trajectory. This mechanism forces the estimated speed to follow precisely the actual motor speed. In this paper, a flux estimation strategy using filter concept is discussed. The theoretical analysis and experimental results to verify the effectiveness of the proposed analysis and the proposed control strategy are described.<br/> <br/>