인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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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
The extensive use of inverters and variable frequency drives (VFDs) introduce harmonics because of pulse width modulated signals. These harmonics reduce power quality, increase losses, and affect the safety of the motor drive system making harmonic detection inevitable. The recent surge in induction motor-based electric vehicles (EVs) also forces the need for a harmonic detection method for proper monitoring. However, the conventional methods used for harmonic extraction mostly relate to the Fourier transform, lock-in amplifier, and other modified versions. These methods show a deterioration in the component extraction performance in an environment with disturbances such as frequency drift, DC offset, and high distortion. In addition, these methods need high computational power and large storage memory. To rectify the limitations of the conventional method, this article proposes a novel frequency adaptive fundamental and harmonic detection method for motor drive systems with a digital lock-in amplifier-based frequency-locked loop (DLIA-FLL). This method, with the capability to track fundamental frequency to provide accurate results in an environment with DC offset, frequency drift, and high distortion, can help with efficient monitoring and safe operation of the motor drive system. Mathematical modeling of the proposed method along with experimental evaluation results are presented. ZERA COM3003 is used as a reference instrument for comparative analysis.
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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