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基于響應面和遺傳算法的尾座式無人機結(jié)構(gòu)參數(shù)優(yōu)化
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國家重點研發(fā)計劃項目(2017YFC0403203)、楊凌示范區(qū)產(chǎn)學研用協(xié)同創(chuàng)新重大項目(2018CXY-23)和高等學校學科創(chuàng)新引智計劃項目(B12007)


Optimization of Configuration Parameters of Tail-sitter UAV Based on Response Surface and Genetic Algorithm
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    摘要:

    設計了一種垂直起降尾座式無人機,,利用中心組合試驗(Central composite design,CCD)對無人機的翼展長,、后掠角、小翼高和小翼厚4個結(jié)構(gòu)參數(shù)進行設計,,構(gòu)建了25組樣本點,。利用ANSYS CFX進行升阻比和阻力數(shù)值模擬,通過DesignExpert軟件建立無人機結(jié)構(gòu)參數(shù)與升阻比,、阻力的響應面模型,,其中升阻比隨著翼展長和小翼高的增加而增大,后掠角和小翼高對升阻比的影響較小,,當攻角為4°~8°時,,升阻比隨小翼厚的增加而減小,當攻角為10°~12°時,,升阻比隨小翼厚的增加而增大,;阻力隨著翼展長和小翼厚的增加而增大,隨小翼高的增加而減小,,隨后掠角的增加先增大后減小,。以升阻比最大和阻力最小為優(yōu)化目標,采用多目標遺傳算法進行結(jié)構(gòu)參數(shù)優(yōu)化,,得到最優(yōu)結(jié)構(gòu)參數(shù)為:翼展長1123mm,、后掠角34°、小翼高39mm,、小翼厚3mm,,與原始樣機相比升阻比提高了12.4%,阻力降低了5.3%,。采用風洞試驗對響應面模型進行了驗證,,其中升阻比和阻力的數(shù)值模擬相對誤差小于8.0%,響應面模型相對誤差小于3%,,表明響應面模型具有較高的精度和良好的通用性,,可用于垂直起降尾座式無人機的優(yōu)化設計,。

    Abstract:

    An agricultural vertical take-off and landing (VTOL) tail-sitter UAV with symmetrical winglets and wings was designed. The main parameters of the tai-sitter, wingspan, sweep angle, winglet height and winglet thickness were investigated to optimize the structure design. Central composite design (CCD) was employed to construct 25 sample points. Numerical simulation of lift drag ratio and drag were carried out with ANSYS CFX. The response surface models (RSM) of UAV structure parameters with lift drag ratio and drag were established by Design-Expert software. The lift drag ratio was increased with the increase of wing length and height of winglet. The lift drag ratio was decreased with the increase of wing thickness at attack angle of 4°~8°, and with the decrease of wing thickness at attack angle of 10°~12°. The impact of sweep angle and wing height on the lift drag ratio was small. The drag was increased with the increase of wing length and thickness of wing, and decreased with the increase of winglet height. The drag was increased firstly with the increase of sweep angle and then decreased. The multiobjective genetic algorithm was used to optimize the structural parameters, with maximum lift drag ratio and minimum drag as optimal objects. The optimal structural parameters were wingspan of 1123mm, sweep angle of 34°, wing height of 39mm, and wing thickness of 3mm. Compared with the original configuration, the average lift drag ratio was improved by 12.4%, while the average drag was reduced by 5.3%. The response surface model was validated by wind tunnel test. The numerical simulation error of lift drag ratio and drag was less than 8.0%, and the error of response surface model was less than 3%. It was shown that the response surface model had high accuracy and good versatility, and it can be used in the optimization design of vertical takeoff and landing of tailstock UAV. The results were of great significance for the design of tailsitter UAV.

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劉文帥,姚小敏,李超群,張夢飛,淡煦珈,韓文霆.基于響應面和遺傳算法的尾座式無人機結(jié)構(gòu)參數(shù)優(yōu)化[J].農(nóng)業(yè)機械學報,2019,50(5):88-95. LIU Wenshuai, YAO Xiaomin, LI Chaoqun, ZHANG Mengfei, DAN Xujia, HAN Wenting. Optimization of Configuration Parameters of Tail-sitter UAV Based on Response Surface and Genetic Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(5):88-95.

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  • 收稿日期:2019-01-28
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  • 在線發(fā)布日期: 2019-05-10
  • 出版日期: 2019-05-10
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