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 order to address the vibration noise generated during the operation of the drone due to the operation of the motor, this paper selects the key structural parameters inside the motor as the optimization variables, and uses the average output torque, torque ripple and load air gap magnetic density as the optimization objectives for multi-objective optimization design. First, the excitation source of the motor vibration, the electromagnetic force, was analyzed analytically. At the same time, the main factor causing motor vibration, the radial electromagnetic force, and the vibration noise characteristics under different working conditions and speeds were simulated using finite element analysis. The source and spatial order distribution of the electromagnetic force and the vibration noise characteristics under multiple speeds were analyzed. Next, a response surface modeling (RSM) model, to solve the specific analytical relationship between the design variables and the optimization objectives, and to perform multi-objective optimization design of the motor by combining the Taguchi method improved by fuzzy theory. Then, a sensitivity analysis of each design variable is performed based on the Pearson coefficient, and different methods are used to perform secondary parameter adjustment for design variables with different sensitivities. Finally, motor performance (output torque, torque ripple, air- gap flux density, vibration, noise) is compared pre- and post-optimization in both traditional Taguchi and the improved Taguchi-based schemes. This validation confirms the rationality and effectiveness of the proposed optimization methodology.
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.
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