西北工业大学学报
西北工業大學學報
서북공업대학학보
Journal of Northwestern Polytechnical University
2015年
5期
750-756
,共7页
屈耀红%于丽丽%周迎%袁冬莉
屈耀紅%于麗麗%週迎%袁鼕莉
굴요홍%우려려%주영%원동리
无人机%风场估计%步长%飞行试验%GPS/DR%飞行位置
無人機%風場估計%步長%飛行試驗%GPS/DR%飛行位置
무인궤%풍장고계%보장%비행시험%GPS/DR%비행위치
computer simulation%errors%estimation%experiments%fixed wings%
flight dynamics%global positioning system%matrix
algebra%measurement errors%optimization%trajectories%unmanned
aerial vehicles ( UAV)%vectors%flight position%flight test%
GPS/DR%step%wind
基于小型固定翼无人机飞行运动位置矢量关系,提出了一种多步长推算的风场估计方法,并通过飞行试验数据定量分析了步长数对估计精度的影响. 该方法利用无人机飞行位置信息得到基于GP S/DR的风矢量场估计模型,接着通过飞行试验得到无人机在4种不同运动模态下飞行时,此风场估计方法获取风信息的步长数的最佳阈值. 仿真结果表明,无人机以120~150 m/s飞行速度回旋飞行、飞行数据采样步长取为1s的情况下,步长数不大于5h的多步长风场估计方法可以最准确地估计出风信息,其测量风速误差不超过10%.
基于小型固定翼無人機飛行運動位置矢量關繫,提齣瞭一種多步長推算的風場估計方法,併通過飛行試驗數據定量分析瞭步長數對估計精度的影響. 該方法利用無人機飛行位置信息得到基于GP S/DR的風矢量場估計模型,接著通過飛行試驗得到無人機在4種不同運動模態下飛行時,此風場估計方法穫取風信息的步長數的最佳閾值. 倣真結果錶明,無人機以120~150 m/s飛行速度迴鏇飛行、飛行數據採樣步長取為1s的情況下,步長數不大于5h的多步長風場估計方法可以最準確地估計齣風信息,其測量風速誤差不超過10%.
기우소형고정익무인궤비행운동위치시량관계,제출료일충다보장추산적풍장고계방법,병통과비행시험수거정량분석료보장수대고계정도적영향. 해방법이용무인궤비행위치신식득도기우GP S/DR적풍시량장고계모형,접착통과비행시험득도무인궤재4충불동운동모태하비행시,차풍장고계방법획취풍신식적보장수적최가역치. 방진결과표명,무인궤이120~150 m/s비행속도회선비행、비행수거채양보장취위1s적정황하,보장수불대우5h적다보장풍장고계방법가이최준학지고계출풍신식,기측량풍속오차불초과10%.
Based on the vector relationship of motion locations on small fixed wing UAV, a multi?step wind field es?timation method is proposed. And the impact of steps on estimation accuracy is tested with flight data. First, the es?timation model which is based on GPS/DR is obtained with the location information of UAV. Next, the optimal val?ue of steps is obtained with testing flight in four different models. In the simulation, under the condition of 150m/s speed, 1 second sample step and no more than 5 steps, the wind information is estimated accurately with the pro?posed method and the measurement error of wind speed does not exceed 10%.