지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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This paper is to estimate aerodynamic coefficients needed to determine the missiles' controller design and stability from simulation data of Skid-to-Turn missile. Method of determining aerodynamic coefficients is to apply Neural Network and Recursive Least Square and results were compared and researched. Also analysing actual flight test data was considered and sensor noise was added. Estimate parameter of data with sensor noise added and estimated performance and reliability for both methods that did not need initial values. Both Neural Network and Recursive Least Square methods showed excellent estimate results without adding the noise and with noise added Neural Network method showed better estimate results.
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참고문헌 (7)
참고문헌 신청
Iliff, K. W / 1989 / Parameter Estimation for Flight Vehicles / AIAA Journal of Guidance, Control and Dynamics 12(5):609~622
Maine, R. E / 1981 / The Theory and Practice of Estimating the Accuracy of Dynamic Flight-Determined Coefficients / NASA Reference Publication 1077
Song, Y / 2002 / A comparative Study of Real-Time Aircraft Parameter Identification Schemes Applied to NASA F/A-18 HARV Flight Data / Trans. of JSASS 14(149)
Klein, V / 2006 / Aircraft System Idenrification : theory and Practice / AIAA Education Series
Peterson, G / 1995 / Using Neural Networks for Aerodynamic Parameter Modeling / Proc. of the American Control Conference
Maine, R. E / 1981 / The Theory and Practice of Estimating the Accuracy of Dynamic Flight-Determined Coefficients / NASA Reference Publication 1077
Song, Y / 2002 / A comparative Study of Real-Time Aircraft Parameter Identification Schemes Applied to NASA F/A-18 HARV Flight Data / Trans. of JSASS 14(149)
Klein, V / 2006 / Aircraft System Idenrification : theory and Practice / AIAA Education Series
Peterson, G / 1995 / Using Neural Networks for Aerodynamic Parameter Modeling / Proc. of the American Control Conference
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