Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Guidance and Control System Design for Automatic Carrier Landing of a UAV

무인 항공기의 함상 자동 착륙을 위한 유도제어 시스템 설계

  • Koo, Soyeon (Department of Aerospace Engineering, Chungnam National University) ;
  • Lee, Dongwoo (Department of Aerospace Engineering, Chungnam National University) ;
  • Kim, Kijoon (Department of Aerospace Engineering, Chungnam National University) ;
  • Ra, Chung-Gil (Department of Aerospace Engineering, Chungnam National University) ;
  • Kim, Seungkeun (Department of Aerospace Engineering, Chungnam National University) ;
  • Suk, Jinyoung (Department of Aerospace Engineering, Chungnam National University)
  • 구소연 (충남대학교 항공우주공학과) ;
  • 이동우 (충남대학교 항공우주공학과) ;
  • 김기준 (충남대학교 항공우주공학과) ;
  • 라충길 (충남대학교 항공우주공학과) ;
  • 김승균 (충남대학교 항공우주공학과) ;
  • 석진영 (충남대학교 항공우주공학과)
  • Received : 2014.09.01
  • Accepted : 2014.09.29
  • Published : 2014.11.01
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Abstract

This paper presents the guidance and control design for automatic carrier landing of a UAV (Unmanned Aerial Vehicle). Differently from automatic landing on a runway on the ground, the motion of a carrier deck is not fixed and affected by external factors such as ship movement and sea state. For this reason, robust guidance/control law is required for safe shipboard landing by taking the relative geometry between the UAV and the carrier deck into account. In this work, linear quadratic optimal controller and longitudinal/lateral trajectory tracking guidance algorithm are developed based on a linear UAV model. The feasibility of the proposed control scheme and guidance law for the carrier landing are verified via numerical simulations using X-Plane and Matlab/simulink.

Keywords

References

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Cited by

  1. Longitudinal System Identification of an Avian-Type UAV Considering Characteristics of Actuator pp.2093-2480, 2018, https://doi.org/10.1007/s42405-018-0084-5
  2. Improvement of Shipboard Landing Performance of Fixed-wing UAV Using Model Predictive Control pp.2005-4092, 2018, https://doi.org/10.1007/s12555-017-0690-1