인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
피인용 0
초록·키워드
In this study, a novel method combining neural networks with a PID controller to implement a 3-axis stabilization platform was proposed. In the 3-axis stabilization platform, the three servo motor angles corresponding to the plate's roll and pitch angles could not be directly measured. Due to the nonlinear characteristics in actual implementation, directly using a controller was challenging. Therefore, in the proposed study, we used a neural network to learn the relationship between the three servo motor inputs and the roll and pitch angles of the 3-axis stabilization. The neural network provided the servo motor inputs based on the roll and pitch angles measured by sensors. To improve the accuracy and reliability of the data, the measured values were corrected using a Kalman filter, and after data collection, the data was preprocessed for neural network modeling. The trained neural network model was combined with a PID controller to control the three servo motors, maintaining the plate's horizontal position. Experimental results demonstrated the performance comparison across various neural network structures, confirming that the roll and pitch angles of the oscillating plate were controlled by the proposed neural network-based stabilization.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-26-02-095584333
