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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of a Reconfigurable Flight Controller Using Neural Networks and PCH

신경회로망과 PCH을 이용한 재형상 비행제어기

  • 김낙완 (충남대학교 항공우주선박해양공학부) ;
  • 김응태 (한국항공우주연구원) ;
  • 이장호 (한국항공우주연구원)
  • Published : 2007.05.01
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Abstract

This paper presents a neural network based adaptive control approach to a reconfigurable flight control law that keeps handling qualities in the presence of faults or failures to the control surfaces of an aircraft. This approach removes the need for system identification for control reallocation after a failure and the need for an accurate aerodynamic database for flight control design, thereby reducing the cost and time required to develope a reconfigurable flight controller. Neural networks address the problem caused by uncertainties in modeling an aircraft and pseudo control hedging deals with the nonlinearity in actuators and the reconfiguration of a flight controller. The effect of the reconfigurable flight control law is illustrated in results of a nonlinear simulation of an unmanned aerial vehicle Durumi-II.

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References

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