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基于模擬退火算法的無人機(jī)山地作業(yè)能耗最優(yōu)路徑規(guī)劃
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國家自然科學(xué)基金項(xiàng)目(31701326)和國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2018YFD0701102)


Optimal Energy Consumption Path Planning of UAV on Mountain Region Based on Simulated Annealing Algorithm
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    摘要:

    為提高無人機(jī)在丘陵山地區(qū)域的作業(yè)效率,以四旋翼無人機(jī)為試驗(yàn)對象,通過對無人機(jī)三維運(yùn)動的受力分析提出無人機(jī)三維運(yùn)動的能效系數(shù),;對無人機(jī)自身性能進(jìn)行測試,,完成無人機(jī)功率與升力模型的擬合,擬合決定系數(shù)為0.9894,,并在此基礎(chǔ)上不同負(fù)載下完成能效系數(shù)的計(jì)算,;最終,通過設(shè)計(jì)相應(yīng)的模擬退火算法完成無人機(jī)在山地作業(yè)情況下的能耗最優(yōu)作業(yè)路徑規(guī)劃,。試驗(yàn)表明,,當(dāng)飛行速度為2m/s時(shí),在不同恒定負(fù)載情況下,,無人機(jī)能耗最優(yōu)路徑比常規(guī)路徑最多可節(jié)約能耗30.16%,,比最短路徑最多可節(jié)約能耗5.47%;在負(fù)載實(shí)時(shí)變化情況下,,能耗最優(yōu)路徑比常規(guī)路徑可節(jié)約能耗32.04%,,比最短路徑可節(jié)約能耗1172%。說明模擬退火算法可在能耗約束條件下對無人機(jī)進(jìn)行作業(yè)路徑規(guī)劃,,且具有較好的路徑規(guī)劃效果,。

    Abstract:

    In order to improve the operation efficiency of the unmanned aerial vehicle (UAV) on mountain region, the fourrotor UAV was used as the test object. The energy efficiency coefficients of the threedimensional motion were proposed through the force analysis and simplification of the threedimensional motion of the UAV. Then the performance of the UAV was tested and the correlation model between power and thrust was fitted with the coefficient of determination of 0.9894. The energy efficiency coefficients under different load conditions were calculated on this basis. After that, the optimal energy consumption operation paths of UAV on mountain region were simulated based on the correspondingly designed simulated annealing algorithm (SAA). The test results showed that when the flying speed of the UAV was 2m/s, under different constant loads, the optimal energy consumption paths can save up to 30.16% of the energy compared with the conventional paths, and 5.47% of the energy compared with the shortest paths; in the case of the realtime changing load, the optimal energy consumption path can save energy by 32.04% compared with the conventional path and save energy by 11.72% compared with the shortest path. It showed that under the constraint of energy consumption, the simulated annealing algorithm can optimize the operation path of the UAV to save energy, which was of great significance for improving the operation efficiency of the UAV on mountain region.

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范葉滿,沈楷程,王東,翟長遠(yuǎn),張海輝.基于模擬退火算法的無人機(jī)山地作業(yè)能耗最優(yōu)路徑規(guī)劃[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(10):34-41. FAN Yeman, SHEN Kaicheng, WANG Dong, ZHAI Changyuan, ZHANG Haihui. Optimal Energy Consumption Path Planning of UAV on Mountain Region Based on Simulated Annealing Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(10):34-41.

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  • 收稿日期:2020-04-24
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  • 在線發(fā)布日期: 2020-10-10
  • 出版日期: 2020-10-10
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