인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study presents a new singularity-avoidance trajectory generation algorithm for roll–pitch gimbal seekers. Two kinematically derived thresholds, namely the minimum allowable pitch angle and the trajectory offset, were introduced to classify local target motion and determine the appropriate control strategy between predictive roll angular rate shaping and roll angle alignment in conjunction with pitch angle optimization. The second order reference dynamics was incorporated to eliminate discontinuities that typically arise during mode transitions, ensuring smooth and stable command generation for the gimbal controller. To evaluate the algorithm under various simulated target conditions, target trajectories with varying speeds, minimum approach angles, and turning behaviors were generated using both outward- and inward-bending hyperbolic motion. The proposed method consistently maintained target lock without field-of-view violation across all scenarios, including those involving rapid direction changes near the singularity. These results demonstrate that the algorithm improves tracking stability and general applicability under the considered simulation conditions, suggesting its potential for practical implementation in roll–pitch seeker systems.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.