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논문 기본 정보

자료유형
학술저널
저자정보
Kwangho Han (경상대학교) Jaemin Sung (경상대학교) Byoungsoo Kim (경상대학교)
저널정보
한국항공우주학회 International Journal of Aeronautical and Space Sciences International Journal of Aeronautical and Space Sciences Volume.12 Number.1
발행연도
2011.3
수록면
78 - 83 (6page)

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초록· 키워드

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Traditional autopilot design requires an accurate aerodynamic model and relies on a gain schedule to account for system nonlinearities. This paper presents the control architecture applied to a dynamic model inversion at a single flight condition with an on-line neural network (NN) in order to regulate errors caused by approximate inversion. This eliminates the need for an extensive design process and accurate aerodynamic data. The simulation results using a developed full nonlinear 6 degree of freedom model are presented. This paper also presents the stability evaluation for control systems to which NNs were applied. Although feedback can accommodate uncertainty to meet system performance specifications, uncertainty can also affect the stability of the control system. The importance of robustness has long been recognized and stability margins were developed to quantify it. However, the traditional stability margin techniques based on linear control theory can not be applied to control systems upon which a representative non-linear control method, such as NNs, has been applied. This paper presents an alternative stability margin technique for NNs applied to control systems based on the system responses to an inserted gain multiplier or time delay element.

목차

Abstract
1. Introduction
2. Adaptive Autopilot Design for an Anti-Ship Missile
3. Stability Margin Evaluation for an Anti-Ship Missile
4. Conclusions
Acknowledgments
References

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