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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Tiltrotor Aircraft SCAS Design Using Neural Networks

신경회로망을 이용한 틸트로터 항공기 SCAS 설계

  • 한광호 (한국항공우주산업) ;
  • 김부민 (경상대학교 항공공학과) ;
  • 김병수 (경상대학교 기계항공공학부 항공기 부품기술연구소)
  • Published : 2005.03.01
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Abstract

This paper presents the design and evaluation of a tiltrotor attitude controller. The implemented response type of the command augumentation system is Attitude Command Attitude Hold. The controller architecture can alleviate the need for extensive gain scheduling and thus has the potential to reduce development time. The control algorithm is constructed using the feedback linearization technique. And an on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge tiltrotor aircraft dynamics is applied to augment the attitude control system. The use of Lyapunov stability analysis guarantees boundedness of the tracking error and network parameters. The performance of the controller is evaluated against ADS-33E criteria, using the nonlinear tiltrotor simulation code for Bell TR301 developed by KARI. (Korea Aerospace Research Institute)

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References

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