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지형 추종을 위한 모델 예측제어와 비선형 외란 관측기를 이용한 백스테핑 슬라이딩 모드 제어기법 설계

A Design of Model Predictive Control and Nonlinear Disturbance Observer-based Backstepping Sliding Mode Control for Terrain Following

  • 이동우 (한국과학기술원 항공우주공학과) ;
  • 홍경우 (한국과학기술원 항공우주공학과) ;
  • 임철수 (한국과학기술원 항공우주공학과) ;
  • 방효충 (한국과학기술원 항공우주공학과) ;
  • 임동주 (한화시스템(주)) ;
  • 박대성 (한화시스템(주)) ;
  • 송기훈 (국방과학연구소 항공기레이더체계단)
  • Dongwoo Lee (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kyungwoo Hong (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Chulsoo Lim (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Hyochoong Bang (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Dongju Lim (Hanwha Systems) ;
  • Daesung Park (Hanwha Systems) ;
  • Kihoon Song (Aircraft Radar System PMO, Agency for Defense Development)
  • 투고 : 2023.07.07
  • 심사 : 2024.05.27
  • 발행 : 2024.08.05

초록

In this study, we propose the terrain following algorithm using model predictive control and nonlinear disturbance observer-based backstepping sliding mode controller for an aircraft system. Terrain following is important for military missions because it helps the aircraft avoid detection by the enemy radar. The model predictive control is used to replace the generating trajectory and guidance with the flight path angle constraint. In addition, the aircraft is affected to the parameter uncertainty and unknown disturbance such as wind near the mountainous terrain. Therefore, we suggest the nonlinear disturbance-based backstepping sliding mode control method for the aircraft that has highly nonlinearity to enhance flight path angle tracking performance. Through the numerical simulation, the proposed method showed the better tracking performance than the traditional backstepping method. Furthermore, the proposed method presented the terrain following maneuver maintaining the desired altitude.

키워드

과제정보

이 논문은 2023년도 한화시스템(주)의 재원을 지원받아 수행된 연구임.

참고문헌

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