This study focuses on the design of a drive system for the stabilization control of a Remotely Controlled Weapon System(RCWS). First, the 3-degree-of-freedom(3-DOF) motion equations of a two-axis gimbal-structured RCWS are d...

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
https://www.riss.kr/link?id=A109859035
2025
Korean
KCI등재
학술저널
415-433(19쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
This study focuses on the design of a drive system for the stabilization control of a Remotely Controlled Weapon System(RCWS). First, the 3-degree-of-freedom(3-DOF) motion equations of a two-axis gimbal-structured RCWS are d...
This study focuses on the design of a drive system for the stabilization control of a Remotely Controlled Weapon System(RCWS). First, the 3-degree-of-freedom(3-DOF) motion equations of a two-axis gimbal-structured RCWS are derived. The final motion equations are established by applying structural constraints. Second, the motor torque and gear ratio are designed. The motor torque is calculated by separating the friction torque from the acceleration torque. The gear ratio is determined based on the ratio of the moment of inertia between the motor rotor and the structural load, considering the torque transmission efficiency. Third, a stabilization control algorithm using a dual feedback loop is developed. The inner loop utilizes angular rates measured by an encoder, while the outer loop uses angular velocities measured by an Inertial Measurement Unit(IMU). Finally, the performance of the RCWS drive system is evaluated in terms of stabilization accuracy under RRC-9 course disturbances. It is concluded that this research contributes to the development of drive systems and stabilization control techniques for RCWS and turrets used in tanks and armored vehicles.
다중특징 융합 기반 딥러닝 모델을 이용한 인간의 실제 음성과 AI 합성 음성의 식별 방법
함정 추진축계 베어링에서 발생하는 초고주파 진동 및 이상소음 특성 사례 연구
위협체 식별을 위한 궤적 기반 Out-of-Distribution 고려 대조 학습 기법