• 한국군사과학기술학회지
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• 제13권6호
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• pp.967-975
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• 2010

There have been a lot of efforts on the improvement for the ride comfort and handling stability of the combat vehicles. Especially most of vehicles for military purpose have bad inertial condition and severe operating condition such as the rough road driving, and need a high mobility in the emergency status. It is necessary to apply the controlled suspension system in order to improve the vehicle mobile stability and ride comfort ability of crews. A feasibility study is performed on the application of the semi-active suspension system with a magneto-rheological controlled shock absorber for a $6{\times}6$ combat vehicle. First, the dynamic simulation model of the vehicle including the control model for the semi-active suspension system was executed. Based on this model, a hardware-in-the-loop simulation(HILS) system which has a semi-active suspension controller hardware was constructed. After full vehicle simulations were performed in virtual proving courses with this system, the semi-active suspension system was proven to give better ride comfort and handling stability in comparison with the conventional passive suspension system.

• 한국항공우주학회지
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• 제35권6호
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• pp.467-473
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• 2007

스텔스 무인전투기 형상 주위 유동장의 수동에서의 흐름가시화 시험을 통한 기본 공력 특성 파악 연구가 수행되었다. 시험은 자유류 속도 12.7 cm/sec와 평균시위 기준 레이놀즈수 $1.4{\times}10^4$에서 수행되었다. 물감을 사용하여 가시화된 와류의 생성 및 붕괴 현상은 앞서 수행된 힘과 모멘트 측정 결과와 비교되었다. 시험 결과 낮은 받음각에서는 동체와 날개 junction 와류가 큰 영향을 주지만, 높은 받음각 영역에서는 전방동체 와류 거동이 공력에 지배적인 영향을 줌을 확인하였다.

• 한국군사과학기술학회지
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• 제13권6호
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• pp.1006-1012
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• 2010

For the autonomous navigation of an unmanned ground vehicle in the rough terrain and combat, the dust environment should necessarily be overcome. Therefore, we propose a robust obstacle detection methodology using laser range sensor and radar. Laser range sensor has a good angle and distance accuracy, however, it has a weakness in the dust environment. On the other hand, radar has not better the angle and distance accuracy than laser range sensor, it has a robustness in the dust environment. Using these characteristics of laser range sensor and radar, we use laser range sensor as a main sensor for normal times and radar as a assist sensor for the dust environment. For fusion of laser range sensor and radar information, the angle and distance data of the laser range sensor and radar are separately transformed to the angle and distance data of virtual range sensor which is located in the center of the vehicle. Through distance comparison of laser range sensor and radar in the same angle, the distance data of a fused virtual range sensor are changed to the distance data of the laser range sensor, if the distance of laser range sensor and radar are similar. In the other case, the distance data of the fused virtual range sensor are changed to the distance data of the radar. The suggested methodology is verified by real experiment.