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基于改進(jìn)A*算法和Bezier曲線的多機(jī)協(xié)同全局路徑規(guī)劃
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2019YFB1312300-2019YFB1312305)和中國(guó)農(nóng)業(yè)大學(xué)建設(shè)世界一流大學(xué)(學(xué)科)和特色發(fā)展引導(dǎo)專項(xiàng)資金項(xiàng)目(2021AC006)


Multi-machine Cooperation Global Path Planning Based on A-star Algorithm and Bezier Curve
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    摘要:

    為了實(shí)現(xiàn)農(nóng)田作業(yè)環(huán)境下的多機(jī)協(xié)同導(dǎo)航作業(yè)的遠(yuǎn)程調(diào)度管理,開展了基于改進(jìn)A*算法和Bezier曲線的全局路徑規(guī)劃研究。闡述了農(nóng)田作業(yè)環(huán)境下的多機(jī)協(xié)同路徑規(guī)劃,多機(jī)協(xié)同路徑規(guī)劃分為全局路徑規(guī)劃和局部動(dòng)態(tài)避障;利用改進(jìn)A*算法實(shí)現(xiàn)了全局路徑尋優(yōu)和拐角優(yōu)化,并基于Bezier曲線對(duì)全局路徑進(jìn)行了平滑處理;根據(jù)隨機(jī)生成的障礙物環(huán)境地圖和涿州試驗(yàn)農(nóng)場(chǎng)環(huán)境地圖,利用Matlab平臺(tái)分別對(duì)全局路徑規(guī)劃算法進(jìn)行了仿真試驗(yàn)。仿真結(jié)果表明,通過調(diào)節(jié)改進(jìn)A*算法中的權(quán)重w(n),搜索效率得到了明顯提高,基于涿州試驗(yàn)農(nóng)場(chǎng)的仿真試驗(yàn)中,優(yōu)化后算法運(yùn)行時(shí)間為0.832s;通過對(duì)全局路徑進(jìn)行拐角優(yōu)化,在路徑長(zhǎng)度相近的情況下,有效降低了轉(zhuǎn)彎次數(shù);同樣,利用Bezier曲線進(jìn)行路徑平滑后,拐角處的尖峰得到了優(yōu)化,確保農(nóng)機(jī)在實(shí)際農(nóng)田作業(yè)中平穩(wěn)行進(jìn),初步滿足了實(shí)時(shí)性和平滑性需求,為實(shí)現(xiàn)農(nóng)田作業(yè)環(huán)境下的多機(jī)協(xié)同路徑規(guī)劃提供了基礎(chǔ)。

    Abstract:

    In order to realize the remote dispatching management of multi-machine cooperative navigation operation in complex farmland environment, the research of global path planning based on improved A-star algorithm and Bezier curve was carried out. Multi-machine cooperative operation path planning in farmland operation environment was introduced, which was divided into global path planning and local dynamic obstacle avoidance; The improved A-star algorithm was used to optimize the global path and corner optimization, and the global path was smoothed based on Bezier curve; According to the randomly generated obstacle environment map and Zhuozhou Experimental Farm environment map, the multi-machine cooperative global path planning algorithm was simulated by using Matlab platform. The simulation results showed that by adjusting the value of weight w(n) in the improved A-star algorithm, the search efficiency was significantly improved, the running time of the optimized algorithm was 0.832s in the simulation experiment based on Zhuozhou Experimental Farm. Through corner optimization, the number of turns was effectively reduced when the path length was similar. Similarly, after using Bezier curve to smooth the path, the peak at the corner was well optimized to ensure the smooth progress of agricultural machinery in the actual farmland operation, which preliminarily met the real-time and smooth requirements, and provided a basis for further solving the multi-machine cooperative path planning in the field environment.

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曹如月,張振乾,李世超,張 漫,李 寒,李民贊.基于改進(jìn)A*算法和Bezier曲線的多機(jī)協(xié)同全局路徑規(guī)劃[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(S0):548-554. CAO Ruyue, ZHANG Zhenqian, LI Shichao, ZHANG Man, LI Han, LI Minzan. Multi-machine Cooperation Global Path Planning Based on A-star Algorithm and Bezier Curve[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):548-554.

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  • 收稿日期:2021-07-05
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  • 在線發(fā)布日期: 2021-12-10
  • 出版日期: 2021-12-10