无人机复杂气象威胁建模及评估方法
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摘要
为评价无人机执行任务时气象因素的威胁程度,在建立气象评价指标体系和量化各种气象等级基础上,提出一种基于威胁强度的多级模糊综合评判方法。该方法改进了两级权重确定模型和综合评估模型,并经过计算得到综合威胁指数。通过实例验证,结果表明该方法能够准确评估气象对无人机的威胁程度,与传统模糊评判方法和BP评估方法相比,具有速度更快、误差更小和复杂度更低的特点,提高了评估效率和有效性。
To study the effect of meteorological conditions on Unmanned Aerial Vehicle(UAV),an algorithm of multi-level fuzzy comprehensive evaluation method based on threat value was proposed.This algorithm improved a two-level weight value determination and the comprehensive evaluation model,which can get the comprehensive threat index after being calculated.The simulation results show that this algorithm can assess the degree of weather threat accurately and have faster operation speed,smaller error and lower complexity.The efficiency and validity have also been improved.
To study the effect of meteorological conditions on Unmanned Aerial Vehicle(UAV),an algorithm of multi-level fuzzy comprehensive evaluation method based on threat value was proposed.This algorithm improved a two-level weight value determination and the comprehensive evaluation model,which can get the comprehensive threat index after being calculated.The simulation results show that this algorithm can assess the degree of weather threat accurately and have faster operation speed,smaller error and lower complexity.The efficiency and validity have also been improved.
引文
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[9]朱国涛,周树道,叶松,等.基于BP神经网络的气象威胁度建模和评估方法研究[J].电光与控制,2011,18(3):69-71.
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[13]KIM K W,KIM Y J.Perceived visibility measurement using the HIScolor difference method[J].Journal of the Korean Physical Society,2005,46:1243-1250.
[14]徐浩军,刘东亮,孟捷,等.基于系统仿真的飞行安全评估理论与方法[M].北京:化学工业出版社,2011.
[15]李春锦,文泾.无人机系统的运行管理[M].北京:北京航空航天大学出版社,2010.
[2]NETO A A,MACHARET D,CAMPOS M.On the generation oftrajectories for multiple UAVs in environments with obstacles[J].Journal of Intelligent and Robotic System,2010,57(4):123-141.
[3]王俊,周树道,叶松,等.融合遗传算法与BP神经网络的气象威胁度建模与评估[J].电光与控制,2012,19(3):74-77.
[4]KROZEL J.Terminal area guidance incorporating heavy weather[C]//AIAA Guidance Navigation and Control Conference.New Orle-ans:AIAA,1997:413-420.
[5]KROZEL J.Estimating time of arrival in heavy weather conditions[C]//AIAA Guidance Navigation and Control Conference.NewOrleans:AIAA,1999:1481-1490.
[6]王新增,慈林林,李俊山,等.恶劣气象条件对无人机飞行航迹的威胁评估[J].飞行力学,2010,28(5):84-87.
[7]罗宇智,陈璟.贝叶斯网络的气象威胁建模及评估方法研究[J].计算机仿真,2008,25(11):52-55.
[8]朱国涛,周树道,吕波,等.基于气象威胁的无人机航迹规划方法研究[J].电光与控制,2011,18(6):26-30.
[9]朱国涛,周树道,叶松,等.基于BP神经网络的气象威胁度建模和评估方法研究[J].电光与控制,2011,18(3):69-71.
[10]张征.环境评价学[M].北京:高等教育出版社,2006:155-191.
[11]许雪燕.模糊综合评价模型的研究及应用[D].成都:西南石油大学,2011.
[12]HUANG Q,HANESIAK J,SAVELYEV S,et al.Visibility duringblowing snow events over Arctic Sea Ice[J].Weather and Forecas-ting,2008,23:741-751.
[13]KIM K W,KIM Y J.Perceived visibility measurement using the HIScolor difference method[J].Journal of the Korean Physical Society,2005,46:1243-1250.
[14]徐浩军,刘东亮,孟捷,等.基于系统仿真的飞行安全评估理论与方法[M].北京:化学工业出版社,2011.
[15]李春锦,文泾.无人机系统的运行管理[M].北京:北京航空航天大学出版社,2010.