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復(fù)雜環(huán)境下農(nóng)業(yè)機(jī)器人路徑規(guī)劃優(yōu)化方法
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國(guó)家自然科學(xué)基金面上項(xiàng)目(51875523)


Optimization Method of Agricultural Robot Path Planning in Complex Environment
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    摘要:

    針對(duì)在室外復(fù)雜環(huán)境下作業(yè)的農(nóng)業(yè)機(jī)器人存在因能量受限導(dǎo)致工作完成率降低的問(wèn)題,,提出了一種基于改進(jìn)的啟發(fā)式搜索的ECA*路徑規(guī)劃算法,,該算法可以在資源受限的情況下完成能量損耗最優(yōu)路徑的規(guī)劃,。首先,,通過(guò)建立機(jī)器人距離-能量損耗模型,計(jì)算機(jī)器人移動(dòng)行進(jìn)的路程和損耗的能量,,并對(duì)未來(lái)的路徑和能耗趨勢(shì)進(jìn)行評(píng)估。然后,,在傳統(tǒng)A*算法的基礎(chǔ)上,,將距離-能量損耗模型代入啟發(fā)代價(jià)函數(shù),通過(guò)搜索擴(kuò)展子節(jié)點(diǎn)尋找最優(yōu)路徑,。在每次迭代過(guò)程中,,通過(guò)對(duì)比剔除處于劣勢(shì)的路徑,以保證算法的高效性,。最后,,通過(guò)設(shè)計(jì)仿真實(shí)驗(yàn),將改進(jìn)的ECA*算法與傳統(tǒng)的A*算法搜索到路徑的能量損耗進(jìn)行對(duì)比,,并在之后的改進(jìn)算法中添加相應(yīng)的能量約束進(jìn)行計(jì)算,。仿真結(jié)果表明,改進(jìn)算法減少14.87%能量消耗,,驗(yàn)證了ECA*算法的有效性,。

    Abstract:

    Aiming at the problem that the mobile robot operating in complex outdoor environment reduced work completion rate due to energy limitation because of consume excessive energy when moving along the shortest paths on uneven terrains which often consisted of rapid elevation changes, an improved heuristic search algorithm called ECA* algorithm was proposed, which can optimize energy loss of the path when resources were limited. Firstly, the distance traveled and the energy lost by the robot were calculated by the establishment of robot distanceenergy loss model, which can also evaluate the future path and the energy consumption trend. Then, the distanceenergy loss model was brought into the heuristic cost function based on the traditional A* algorithm and the extended subnode was searched for the optimal path. In each iteration process, the path at the disadvantage was eliminated by comparison to ensure the efficiency of the algorithm. Finally, the energy loss of different paths searched by the improved algorithm as well as the traditional A* algorithm was compared though the design of simulation experiment. The improved algorithm can reduce the energy consumption by 14.87% through the simulated calculation which verified the effectiveness of the improved algorithm.

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殷建軍,董文龍,梁利華,謝偉東,項(xiàng)祖豐.復(fù)雜環(huán)境下農(nóng)業(yè)機(jī)器人路徑規(guī)劃優(yōu)化方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(5):17-22. YIN Jianjun, DONG Wenlong, LIANG Lihua, XIE Weidong, XIANG Zufeng. Optimization Method of Agricultural Robot Path Planning in Complex Environment[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(5):17-22.

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  • 收稿日期:2018-11-05
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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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