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面向主從跟隨協(xié)同作業(yè)的導(dǎo)航路徑規(guī)劃方法
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國(guó)家自然科學(xué)基金項(xiàng)目(32101622、52072407)和國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0700403)


Collaborative Path Planning for Autonomous Agricultural Machinery of Master-Slave Cooperation
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    針對(duì)傳統(tǒng)多機(jī)協(xié)同路徑規(guī)劃方法未充分考慮從機(jī)自主性,,地頭轉(zhuǎn)彎路徑可能發(fā)生重疊,,存在碰撞風(fēng)險(xiǎn)的問(wèn)題,,本文提出一種面向主從跟隨模式的多機(jī)協(xié)同作業(yè)導(dǎo)航路徑規(guī)劃方法?;诜较虬鼑兴惴ê头蛛x軸定理建立農(nóng)機(jī)安全狀態(tài)檢測(cè)模型,,檢測(cè)農(nóng)機(jī)之間是否發(fā)生碰撞;建立基于地塊全覆蓋算法的主機(jī)路徑規(guī)劃模型,,計(jì)算最佳作業(yè)方向角并規(guī)劃地頭轉(zhuǎn)彎模型,;建立從機(jī)作業(yè)路徑規(guī)劃模型,根據(jù)主機(jī)與從機(jī)在協(xié)同作業(yè)中的相對(duì)距離要求規(guī)劃從機(jī)直線作業(yè)路徑,,制定協(xié)同轉(zhuǎn)彎策略,,根據(jù)主機(jī)和從機(jī)的轉(zhuǎn)彎狀態(tài)判定從機(jī)停車等待時(shí)刻,避免因轉(zhuǎn)彎路徑交疊引發(fā)的碰撞危險(xiǎn),。以某小麥?zhǔn)斋@地塊為測(cè)試場(chǎng)景開展仿真試驗(yàn),。試驗(yàn)結(jié)果表明,所建方法能夠規(guī)劃出地塊覆蓋率高,、作業(yè)時(shí)間短,、動(dòng)力消耗少的多機(jī)協(xié)同作業(yè)路徑;當(dāng)?shù)仡^轉(zhuǎn)彎路徑發(fā)生重疊時(shí),,主機(jī)和從機(jī)能夠根據(jù)所設(shè)計(jì)的協(xié)同轉(zhuǎn)彎策略先后轉(zhuǎn)向,避免碰撞危險(xiǎn),;路徑規(guī)劃算法用時(shí)最小值為0.453s,、最大值為1.563s、平均值為0.951s,,可為小麥,、青貯收獲等主從跟隨式多機(jī)協(xié)同自主作業(yè)提供有效的全局作業(yè)路徑。

    Abstract:

    The traditional multi-machine collaborative path planning method exists several problems which ignore the autonomy of the slave and the turning path may overlap on the ground. A multi-machine cooperative navigation path planning method oriented to master-slave cooperation mode was proposed. Firstly, the safety state detection model of agricultural machinery was established based on the directional bounding box algorithm and the separation axis theorem. By comparing the relationship between the sum of the projection radius of each agricultural machinery envelope section on the separation axis and the projection length from the geometric center of the section, the collision between agricultural machinery can be detected. Then, the host path planning model based on the full coverage algorithm was established, and the optimal operation direction angle was solved with the minimum turning number as the optimization objective; according to the size relationship between the minimum turning radius and operation width of the main engine, two kinds of U-shaped and T-shaped turning models were established. Finally, the path planning model of slave was established, and the linear operation path of slave machine was planned according to the relative distance between master and slave in cooperative operation; The cooperative turning modes of master and slave were divided into three types: double U-type, double-T-type and UT type. The cooperative turning strategy was proposed, according to the turning state of the master and slave, the waiting time of the slave was determined to avoid the collision risk caused by overlapping turning paths. Taking the wheat harvest scene under a convex polygon plot as the experimental sample plot, the longitude and latitude coordinates of the plot vertex were extracted by using LocaSpace Viewer, and the rectangular coordinates of the plot were obtained through coordinate transformation. The simulation experiment was carried out by using Matlab. The experimental results showed that the proposed method can plan multi-machine collaborative operation path with high land coverage, short operation time and low power consumption; the master and slave can turn successively according to the designed cooperative turning strategy to avoid collision, when the turning path overlaped; the minimum, maximum and average time of path planning algorithm were 0.453s, 1.563s and 0.951s, respectively. The proposed method can avoid collision risk and can provide an effective global operation path for wheat and silage harvesting.

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翟志強(qiáng),王秀倩,王 亮,朱忠祥,杜岳峰,毛恩榮.面向主從跟隨協(xié)同作業(yè)的導(dǎo)航路徑規(guī)劃方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(S0):542-547. ZHAI Zhiqiang, WANG Xiuqian, WANG Liang, ZHU Zhongxiang, DU Yuefeng, MAO Enrong. Collaborative Path Planning for Autonomous Agricultural Machinery of Master-Slave Cooperation[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):542-547.

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  • 收稿日期:2021-07-05
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  • 在線發(fā)布日期: 2021-11-10
  • 出版日期: 2021-12-10
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