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Electro-Mechanical Brake의 클램핑력 제어를 위한 전류 및 힘 센서 고장 검출 알고리즘 개발
한광진(Kwangjin Han),양이진(I-Jin Yang),허건수(Kunsoo Huh) 제어로봇시스템학회 2011 제어·로봇·시스템학회 논문지 Vol.17 No.11
EMB (Electro-Mechanical Brake) systems can provide improved braking and stability functions such as ABS, EBD, TCS, ESC, BA, ACC, etc. For the implementation of the EMB systems, reliable and robust fault detection algorithm is required. In this study, a model-based fault detection algorithm is designed based on the analytical redundancy method in order to monitor current and force sensor faults in EMB systems. A state-space model for the EMB is derived including faulty signals. The fault diagnosis algorithm is constructed using the analytical redundancy method. Observer is designed for the EMB and the fault detectability condition is examined based on the residual analysis. The performance of the proposed model-based fault detection algorithm is verified in simulations. The effectiveness of the proposed algorithm is demonstrated in various faulty cases.
차량 전복 방지 장치를 위한 실시간 차량 질량 추정 시스템
한광진(Kwangjin Han),김인근(Inkeun Kim),김승기(Seungki Kim),허건수(Kunsoo Huh) 대한기계학회 2012 大韓機械學會論文集A Vol.36 No.6
차량의 롤오버는 심각한 사고중의 하나로 SUV 에 있어서 더욱 위험하나 롤오버 방지시스템을 통하여 발생을 최소화 시킬 수 있다. 하지만 이러한 방지 시스템의 성능은 승객 수나 다른 하중 조건에 따라 변하는 차의 질량이나 무게중심 같은 차량 관성 파라미터에 매우 민감하다. 본 논문에서는 이러한 문제점을 개선하기 위하여 종 방향, 횡 방향, 수직 방향 동역학을 기반으로 한 세 가지 질량 추정 알고리즘을 개발하고 이 세 가지 알고리즘들을 통합하여 임의의 주행 상황에서 실시간 연산을 통해 차량의 질량을 추정할 수 있는 통합 차량 질량 추정 방법을 제안하였다. 또한 실시간 시뮬레이션과 실험을 통하여 이 방법의 성능을 검증하였다. Vehicle rollover is a serious kind of accident, particularly for sport utility vehicles, and its occurrence can be minimized by utilizing active rollover prevention systems. The performance of these protection systems is very sensitive to vehicle inertial parameters such as the vehicle’s mass and center of mass. These parameters vary with the number of passengers and in different load situations. In this paper, a unified method for vehicle mass estimation is proposed that takes into account the available driving conditions. Three estimation algorithms are developed based on longitudinal, lateral, and vertical vehicle motion, respectively. Then, the three algorithms are combined to extract information on the vehicle’s mass during arbitrary vehicle maneuvering. The performance of the proposed vehicle mass estimation method is demonstrated through real-time experiments.
허건수(Kunsoo Huh),한광진(Kwangjin Han),홍대건(Daegun Hong),김동신(Dongshin Kim),김주곤(Joogon Kim),김종기(Jongki Kim) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Electro-hydraulic brake system (EHB) provides improved braking and stability functions such as ABS, EBD, TCS, ESP, BA, ACC, etc. It also removes mechanical components for freedom of design, reduces maintenance requirements and system weight. But, the EHB system should be at least as reliable as the conventional hydraulic brake system. For this purpose, EHB system contains a hydraulic back-up for the brake function, and in the case of an electrical failure, this hydraulic back-up takes over to provide limited control of the braking. In this paper, the model-based fault diagnosis system is developed for monitor of the brake status based on the analytical redundancy method. The performance of the proposed model-based fault diagnosis system is verified in simulations and demonstrates the effectiveness of the proposed system in various faulty cases.
Fault Tree Analysis를 통한 EMB 고장의 분류 및 EMB의 고장 검출 알고리즘 개발
김인근(Inkeun Kim),한광진(Kwangjin Han),허건수(Kunsoo Huh),김명준(Myoungjune Kim),김주곤(Joogon Kim),구본경(Bongyeong Koo) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
Barke-by-Wire systems are lighter in weight, faster in response, easier to implement than the conventional brake systems. Because brake systems are directly related to passengers’ life, guarantee of system’s robustness are essential for implementation. In order to ensure the reliability of the Electro-Mechanical Brake(EMB), a robust dry-type BBW controller should be designed. In this study, a fault detection algorithm is designed based on classified faults. Fault Tree Analysis is used to show how the faults are occurred and how their causes are related to the basic events. In order to detect the rotor faults, magnetic flux leakage are estimated using the estimation algorithm. By choosing a proper threshold, it is shown that rotor fault can be detected.