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      Dual Rotor 풍력발전을 이용한 선박에서의 효과적인 풍향 풍속 측정 = Efficient Measurement of Wind Velocity and Direction Using Dual Rotor Wind Power Generator in Vessel

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      https://www.riss.kr/link?id=A100234091

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This paper proposes an efficient measurement system for the velocity and direction of the wind using the dual rotor wind power generator in vessel. Conventional digital measurement system recognizes the direction and the velocity of the wind using the electric compass or synchronous motor and Vane probe method using hall sensors. But each system has its own short-comings: the synchronous motor has a larger measurement error than the magnetic compass and magnetic compass is weak for the external disturbances such as fluctuation of the vessel. To compensate these short-comings, this paper proposes a new compensation algorithm for the fluctuation errors according to the external interference and the unexpected movement of the vessel along the roll and pitch directions. The proposed system is implemented with the dual compasses and a synchronous motor. The proposed independent power generation system can be operated by itself and can raise the efficiency of the wind power generation systems of 30 ~ 400 W installed along the vertical and horizontal axes. The proposed system also realizes the efficient and reliable power production system by the MPPT algorithm for the real-time recognition of the wind direction and velocity. An advanced switching algorithm for the battery charging system has been also proposed. Effectiveness of the proposed algorithm has been verified through the real experiments and the results are demonstrated.
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      This paper proposes an efficient measurement system for the velocity and direction of the wind using the dual rotor wind power generator in vessel. Conventional digital measurement system recognizes the direction and the velocity of the wind using the...

      This paper proposes an efficient measurement system for the velocity and direction of the wind using the dual rotor wind power generator in vessel. Conventional digital measurement system recognizes the direction and the velocity of the wind using the electric compass or synchronous motor and Vane probe method using hall sensors. But each system has its own short-comings: the synchronous motor has a larger measurement error than the magnetic compass and magnetic compass is weak for the external disturbances such as fluctuation of the vessel. To compensate these short-comings, this paper proposes a new compensation algorithm for the fluctuation errors according to the external interference and the unexpected movement of the vessel along the roll and pitch directions. The proposed system is implemented with the dual compasses and a synchronous motor. The proposed independent power generation system can be operated by itself and can raise the efficiency of the wind power generation systems of 30 ~ 400 W installed along the vertical and horizontal axes. The proposed system also realizes the efficient and reliable power production system by the MPPT algorithm for the real-time recognition of the wind direction and velocity. An advanced switching algorithm for the battery charging system has been also proposed. Effectiveness of the proposed algorithm has been verified through the real experiments and the results are demonstrated.

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      참고문헌 (Reference)

      1 고재평, "동적간섭자기장에 강인한 전자컴파스" 제어·로봇·시스템학회 11 (11): 27-33, 2005

      2 Liang-Rui Chen, "PLL-based battery charge circuit topology" 51 (51): 1344-1346, 2004

      3 K. Tan, "Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors" 19 (19): 382-399, 2004

      4 R.J.Wai, "Novel maximum power extraction algorithm for PMSG wind generation system" IET 1 (1): 275-283, 2007

      5 Kyung-Moon Lee, "Magnetic-interference-free dual-electric compass" 120 (120): 441-450, 2005

      6 Yuang-Shung Lee, "Intelligent control battery equalization for series connected lithium-ion battery strings" 52 (52): 1297-1307, 2005

      7 Peter B. Schmidt, "Initial Rotor Angle Detection Of A Non-Salient Pole Permanent Magnet Synchronous Machine" 1997

      8 Sun-Sin Han, "Implementation of Spreader Pose Control Using Dual-Electric Compasses" 9 (9): 69-70, 2009

      9 David E. Weissman, "Effects of Rain Rate and Wind Magnitude on Sea Winds Scatterometer Wind Speed Errors" 19 (19): 738-746, 2002

      10 A. M. Debroe, "A peak power tracker for small wind turbines in battery charging applications" 14 (14): 1630-1635, 1999

      1 고재평, "동적간섭자기장에 강인한 전자컴파스" 제어·로봇·시스템학회 11 (11): 27-33, 2005

      2 Liang-Rui Chen, "PLL-based battery charge circuit topology" 51 (51): 1344-1346, 2004

      3 K. Tan, "Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors" 19 (19): 382-399, 2004

      4 R.J.Wai, "Novel maximum power extraction algorithm for PMSG wind generation system" IET 1 (1): 275-283, 2007

      5 Kyung-Moon Lee, "Magnetic-interference-free dual-electric compass" 120 (120): 441-450, 2005

      6 Yuang-Shung Lee, "Intelligent control battery equalization for series connected lithium-ion battery strings" 52 (52): 1297-1307, 2005

      7 Peter B. Schmidt, "Initial Rotor Angle Detection Of A Non-Salient Pole Permanent Magnet Synchronous Machine" 1997

      8 Sun-Sin Han, "Implementation of Spreader Pose Control Using Dual-Electric Compasses" 9 (9): 69-70, 2009

      9 David E. Weissman, "Effects of Rain Rate and Wind Magnitude on Sea Winds Scatterometer Wind Speed Errors" 19 (19): 738-746, 2002

      10 A. M. Debroe, "A peak power tracker for small wind turbines in battery charging applications" 14 (14): 1630-1635, 1999

      11 E.C.Kent, "A comparison of ship- and scatterometer-derived wind speed data in open ocean and coastal areas" 19 (19): 3361-3381, 1998

      12 R. H. Liang, "A Fuzzy-Optimization Approach for Generation Scheduling With Wind and Solar Energy Systems" 22 (22): 2007

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2011-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2008-09-30 학회명변경 한글명 : 한국로봇공학회 -> 한국로봇학회
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.59 0.45
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.38 0.31 0.716 0.11
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