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하드 디스크 드라이브에서 나이퀴스트 주파수 안의 고조파 외란 보상
서상민(Sang Min Suh) 제어로봇시스템학회 2010 제어·로봇·시스템학회 논문지 Vol.16 No.9
This paper describes new harmonic disturbance compensation based on a peak filter array for Hard Disk Drives. Unlike a conventional method, the proposed method does not require any sin/cos functions or tables and reduces effects of all harmonic disturbances within a nyquist frequency. Two factors are introduced to parameterize stability and a gain tune. In addition, it is verified that the order of the proposed filter is minimal. From 600 experimental results, 8.5% performance improvement is achieved.
서상민(Suh, Sang-Min),김하용(Kim, Ha-Yong),김경호(Kim, Kyung-Ho) 한국소음진동공학회 2010 한국소음진동공학회 논문집 Vol.20 No.8
This note represents a new disturbance observer to reduce effects of external disturbances. In case of conventional disturbance observers, additional stabilizing filters, so-called Q-filter, should be used because the conventional ones don't guarantee stability. But, the proposed one doesn't need the stabilizing filter, which is a fundamentally different research result from previous methods. Experimental verifications show this approach is realizable and valid to enhance precise positioning.
서상민(Sang Min Suh) 제어로봇시스템학회 2009 제어·로봇·시스템학회 논문지 Vol.15 No.11
This article describes a robust control method by using peak control of a sensitivity function in the state-feedback control systems. This method apparently reduces the peak, and as a result makes closed loop systems more stable. The designed closed loop systems also make the response to an external step disturbance more fast with a lower undershoot. At the conclusion, it is verified that the proposed method enhances robust stability and robust performance to parametric uncertainties through μ-plot.
서상민(SangMin Suh) 한국소음진동공학회 2019 한국소음진동공학회 논문집 Vol.29 No.4
Linear quadratic Gaussian/loop transfer recovery (LQG/LTR) is a robust control design method in the frequency domain. However, the method does not consider time-domain design specifications such as overshoots or vibrations. This paper proposes pole placement/loop transfer recovery (P²/LTR) to satisfy the time-domain design specifications that include frequency domain design specifications. The time-domain design specifications are met by the design of the target loop function, whereas the frequency domain constraints are satisfied via loop transfer recovery. In the presence of model uncertainty, robustness is also proved; therefore, it is confirmed that this method is valid and effective in real-world applications.
서상민(Suh, Sang-Min) 한국소음진동공학회 2010 한국소음진동공학회 논문집 Vol.20 No.10
This note proposes vibration-free motor control through modified LQG/LTR methodology. A conventional LQG/LTR method is a design tool in the frequency domain. However, unlike the conventional one, the proposed one is a time response based design method. This feature is firstly designed by parameterized settling time control gain through the target loop design procedure and the feature is secondly realized by loop transfer recovery. In order to show convergence to the target loop transfer functions, asymptotic behaviors of the open and the closed loop transfer functions are shown. At the conclusion, it is verified that the proposed method is robustly stable to parametric uncertainties through ${\mu}$-plot.
파울리 X,Y,Z 오류검출 기능을 갖는 증강된 QSBC(Quantum Short-Block Code)-QURC(Quantum Unity-Rate Code)(Ⅱ)
박동영(Dong-Young Park),서상민(Sang-Min Suh),김백기(Baek-Ki Kim) 한국전자통신학회 2023 한국전자통신학회 논문지 Vol.18 No.3
본 논문은 멀티레이트 양자 터보 숏-블럭 코드의 양자정보처리 파트만을 이용해 고전정보처리 파트의 외부도움 없이 양자 채널에서 발생한 파울리 X,Y,Z 오류의 유형과 위치 정보를 알아내는 방법을 제안한다. 파울리 X,Y 오류의 위치 정보를 얻기 위해 C[n,k,2] QSBC-QURC 인코더에 각각 n개의 보조 큐빗과 CNOT 게이트를 삽입했는데 그 결과 최대 코딩률이 약 1/2로 제한되는 절충 특성을 갖게 되었다. C[n,k,2] QSBC-QURC에 대한 파울리 Z 오류의 위치 정보는 클리포드 기반 스태빌라이저 측정으로 구했다. 제안한 방법은 코딩률 외의 C[n,k,2] QSBC-QURC가 가진 나머지 모든 특성을 상속한다. This paper proposes a method to find out the type and location information of Pauli X, Y, Z errors generated in quantum channels using only the quantum information processing part of the multiple-rate quantum turbo short-block code without external help from the classical information processing part. In order to obtain the location information of the Pauli X,Y error, n-auxiliary qubits and n-CNOT gates were inserted into the C[n,k,2] QSBC-QURC encoder. As a result, the maximum coding rate is limited to about 1/2 as the trade-off characteristics. The location information of the Pauli Z error for C[n,k,2] QSBC-QURC was obtained through the Clifford-based stabilizer measurement. The proposed method inherits all other characteristics of C[n,k,2] QSBC-QURC except for the coding rate.
A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter
NakJin Choi(최낙진),SungJin Kim(김성진),YongWan Ju(주용완),SangMin Suh(서상민),JaeHong Choi(최재홍),JunDong Lee(이준동) 한국컴퓨터정보학회 2021 韓國컴퓨터情報學會論文誌 Vol.26 No.9
도로 이용자의 교통정보에 대한 수요 증가와 효율적인 도로 이용을 위해 또한, 지능형 교통체계(ITS, Intelligent Transport Systems)의 기본 기술로 교통정보를 수집하여 제공하는 시스템에 대한 개발과 요구가 지속되고 있다. 고속도로에서 가장 많이 사용하는 교통정보 수집 도구로는 차량검지기(VDS)와 단거리무선통신(DSRC)이 있으며, 신뢰성 있는 교통정보의 생성을 위해서는 질 높은 교통데이터 수집 및 가공 기술과 더불어 수집된 자료의 효율적 관리 및 활용이 필요하다. 본 연구에서는 교통정보 수집 · 제공 기술의 현황을 기술하고, VDS를 통하여 수집되는 교통정보의 현황과 문제점에 대하여 분석한다. 이를 바탕으로 VDS 데이터의 차량정보 계측에 칼만 필터를 활용하여 개선된 수집 알고리즘을 제시하고자 한다. 본 연구의 알고리즘을 활용하면 계측 시 필연적으로 발생하는 노이즈 제거 뿐만 아니라 추정 값의 시간지연(time delay)을 최소로 할 수 있다. The development and demand for the system that provides users with traffic information and efficient road use have continued. also, this system provides the basic technology of the Intelligent Transport System (ITS). The most used traffic information collection tools are Vehicle detectors (VDS) and short-range wireless communication (DSRC) on express way. In order to generate reliable traffic information, it is necessary to efficiently manage and utilize the collected data as well as high-quality traffic data collection and processing technology. In this study, traffic information collection · processing · provision systems were investigated, and analyze the current status and problems of traffic information collected through VDS. Based on this, we would like to present an improved collection algorithm that utilizes the Kalman filter for vehicle information measurement of VDS data. By using the algorithm of this study, it is possible to minimize the time delay of the estimated value as well as the noise removal that inevitably occurs during measurement.