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作 者:刘家学 陈田君宏 郭润夏 钱文高 LIU Jiaxue;CHEN Tianjunhong;GUO Runxia;QIAN Wengao(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China)
机构地区:[1]中国民航大学电子信息与自动化学院,天津300300
出 处:《兵器装备工程学报》2023年第5期200-206,共7页Journal of Ordnance Equipment Engineering
基 金:国家自然科学基金面上项目(62173331);天津市虚拟仿真实验教学建设项目(XF2019003)。
摘 要:针对传统环境风模型无法描述非Kolmogorov紊流和风向变化的问题,提出了基于QAR数据的环境风建模方法。将环境风模型划分为风向模块和风速模块。基于QAR数据分析风廓线系数和季节的相关性,建立了能描述平均风时空特性的平均风模型。基于Davenport功率谱形式拟合实测紊流功率谱,拟合结果表明实际紊流功率谱的标度指数在-1.98~1.13。分析风向和风速之间的相关性,考虑风向的变化特性,提出了基于马尔可夫过程的风向建模方法。基于以上模型进行了环境风模拟,并将模拟环境风引入飞行仿真实验中。实验结果表明,该方法能描述非Kolmogorov紊流和风向变化,且能实际应用于飞行仿真中。For the problem that the traditional environmental wind model cannot describe the non-Kolmogorov turbulent flow and wind direction variation,this paper proposes an environmental wind modeling method based on QAR data.The environmental wind model is divided into a wind direction module and a wind speed module.The correlation between wind profile coefficients and seasons is analyzed based on QAR data,and an average wind model that can describe the spatial and temporal characteristics of the average wind is established.Based on the Davenport power spectrum,the power spectrum of the measured turbulent flow is fitted,and the fitting results show that the scalar index of the actual turbulent flow power spectrum ranges from-1.98 to-1.13.The correlation between wind direction and wind speed is analyzed,and a wind direction modeling method based on Markov process is proposed considering the variation characteristics of wind direction.Finally,the environmental wind simulation experiments are conducted based on the above model,and the simulated environmental wind is introduced into the flight simulation experiments.The experimental results show that the method can describe the non-Kolmogorov turbulent flow and wind direction variation,and can be applied to flight simulation.
分 类 号:V217[航空宇航科学与技术—航空宇航推进理论与工程]
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