BAYESIAN APPROACH TO FLIGHT CHARACTERISTICS MODELING WITH REAL FLIGHT DATA
BAYESIAN APPROACH TO FLIGHT CHARACTERISTICS MODELING WITH REAL FLIGHT DATA
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发表时间：
2018
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通讯作者：
M. Naruoka
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作者：
M. Naruoka
本文应用一种新的统计方法，用真实的飞行数据建立飞机飞行特性模型。本研究的动机是通过风洞试验和计算流体动力学分析来提高模型的可靠性。可靠性将得到补偿，不仅执行点估计，但也给分布，这依赖于贝叶斯估计技术;马尔可夫链蒙特卡罗（MCMC）。应用于真实的飞行数据，使一个统计模型的升力和阻力系数的执行，以证明所提出的方法的能力。结果表明，该方法不仅能可靠地估计系数，而且能可靠地估计置信区间。
This paper applies a new statistical approach to model aircraft flight characteristics with real flight data. The motivation of this study is to improve reliability of the model as comparable as estimation by using wind tunnel tests and computational fluid dynamics analyses. The reliability will be compensated by not only performing point estimation but also giving distribution, which relies on a Bayesian estimation technique; Markov chain Mote Carlo (MCMC). Application to real flight data to make a statistical model of lift and drag coefficients is performed to demonstrate the capability of the proposed approach. The results shows that the method can plausibly estimate not only coefficients but also confidence interval.