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퍼지 로직 기반의 위성용 MPPT 개발 및 EBA를 통한 성능검증

Development of Fuzzy Logic-based MPPT and Performance Verification through EBA for Satellite Applications

  • Yeom, Seung-Yong (School of Aerospace & Mechanical Engineering, Korea Aerospace University) ;
  • Park, Ki-Yun (School of Aerospace & Mechanical Engineering, Korea Aerospace University) ;
  • Kim, Hong-Rae (School of Aerospace & Mechanical Engineering, Korea Aerospace University) ;
  • Chang, Young-Keun (School of Aerospace & Mechanical Engineering, Korea Aerospace University)
  • 투고 : 2014.05.24
  • 심사 : 2014.07.27
  • 발행 : 2014.09.01

초록

저궤도 위성이 제한된 전력 내에서 임무를 성공적으로 수행하기 위해서는 효율적인 전력생산이 중요하다. 이를 위해 저궤도 소형위성의 전력계에서는 주로 MPPT (Maximum Power Point Tracking) 방식을 사용하여 태양전지에서 생산되는 전력을 조절한다. 본 연구에서는 소형 큐브위성(KAUSAT-5)에 적용될 퍼지 로직 기반의 MPPT 알고리즘을 제안하며, 제안된 방법의 유용성을 확인하기 위해 MATLAB/Simulink와 STK (Systems Tool Kit)를 연동하여 시뮬레이션을 수행하였다. Simulink와 STK를 이용하여 위성 궤도와 자세에 따른 태양 광량과 운용모드에 따라 변하는 부하용량에 대해 KAUSAT-5의 두 가지 지향모드에서 EBA(Energy Balance Analysis)를 수행하였고, 이를 통해 제안된 퍼지 로직 기반의 MPPT 알고리즘의 성능을 확인하였다. 제안된 퍼지 로직 기반의 MPPT는 가장 일반적인 방법의 하나인 P&O (Perturbation & Observation)와 성능을 비교하여 유용성을 확인하였다.

The satellite should generate electric power efficiently to perform the mission successfully within limited power. For this reason, the electrical power system of LEO satellites usually regulates the power which is generated from the solar cells using MPPT (Maximum Power Point Tracking) method. This paper proposes advanced MPPT algorithm based on the fuzzy logic applied to small CubeSat satellite. The simulation has been performed to confirm the validity of the proposed method by interlocking between MATLAB/Simulink and STK (Systems Tool Kit). The EBA(Energy Balance Analysis) has also been performed at two different pointing modes of KAUSAT-5 for solar irradiation according to the satellite orbit and attitude, and load capacity varied with operation modes by Simulink and STK. The performance of fuzzy logic-based MPPT algorithm was verified through the EBA. The validity of the proposed MPPT algorithm based on the fuzzy logic was also confirmed by comparing with P&O (Perturbation & Observation) algorithm that is general in the MPPT.

키워드

참고문헌

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