Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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A Study on Helicopter Trajectory Tracking Control using Neural Networks

신경회로망을 이용한 헬리콥터 궤적추종제어 연구

  • Published : 2003.04.01
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Abstract

In the paper, the design and evaluation of a helicopter trajectory tracking controller are presented. The control algorithm is implemented using the feedback linearization technique and the two time-scale separation architecture. In addition, and on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge of helicopter dynamic is applied to augment the attitude control system. Trajectory tracking performance of the control system in evaluated using modified TMAN simulation program representing as Apache helicopter. It is show that the on-line neural network in an adaptive control architecture is very effective in dealing with the performance depreciation problem of the trajectory tracking control caused by insufficient information of dynamics.

본 연구에서 헬리콥더의 궤적추종을 위한 제어기의 설계 및 평가를 수행하였다. 제어시스템의 알고리즘은 선형 되먹임 기법과 두 단계 시간분리 구조를 이용하여 구성하였다. 또한 헬리콥터 동특성에 대한 정확한 정보의 결핍으로 인한 모델 역변화 오차를 보상하기 위해 신경회로망을 이용한 실시간 적응제어 구조를 자세제어 시스템에 적용하였다. 제어 시스템의 궤적추종성능은 아파치 헬기의 동측성을 나타내는TMAN 시뮬레이션 프로그램의 단순형을 사용하여 평가하였다. 이를 통하여 실시간 신경회로망 적응제어 구조가 동특성 정보의 부족으로 이한 궤도 추종 제어의 성능 저하 문제에 매우 효과적으로 기여함을 보였다.

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References

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