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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.
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/>
확장된 칼만 필터를 이용한 속도 및 위치 검출기가 없는 IPMSM의 최대토크 운전
김윤호(Yoon-Ho Kim),윤병도(Byung-Do Yoon),국윤상(Yoon-Sang Kook) 전력전자학회 1996 전력전자학술대회 논문집 Vol.1996 No.-
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 techmque 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 simulstion.
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.