RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Current boundary‑based predictive current control of induction machines with lower switching frequencies

        Xin Qi,Chenyu Wang,Boxuan Tian,Mario Pacas,Xiangyang Shi,Aibin Jia 전력전자학회 2024 JOURNAL OF POWER ELECTRONICS Vol.24 No.2

        An excessively high switching frequency causes significant losses in inverters, especially in high-power applications, which should be avoided. Predictive control, based on a circular boundary restriction strategy presented in this paper, can effectively suppress current distortion while reducing the switching frequency. Until now, this method has been implemented with the same boundaries for both the torque component and flux component of the stator current vector. Due to the physical behavior of an induction motor, a higher current distortion tolerance of the flux component of the stator current vector can be accepted without affecting the torque. Therefore, in this work, the circular boundary restriction strategy is modified to configure larger boundaries for the flux component than for the torque component. This is done to achieve an even lower switching frequency. Furthermore, an additional improvement can be expected if only the boundaries of the torque component are strictly maintained, while the magnetizing current can exceed its boundary to some extent. The predictive control method based on this new strategy is experimentally tested to determine its feasibility. A method based on the circular boundary strategy is also implemented under the same testing conditions, and the performances of both strategies are compared.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼