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受控交通農(nóng)業(yè)模式機器人化作業(yè)平臺路徑規(guī)劃方法
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國機集團科研專項(ZDZX2022-1)


Path Planning Method for Robotic Operation Platforms in Controlled Traffic Farming
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    摘要:

    針對受控交通農(nóng)業(yè)模式下機器人化作業(yè)平臺自主作業(yè)需求,提出一種對多邊形地塊具有普適意義的全生產(chǎn)周期作業(yè)路徑規(guī)劃方法。該方法構(gòu)建主永久道網(wǎng)絡(luò)與子作業(yè)路徑層雙層結(jié)構(gòu),通過等距縮放與頂點平滑規(guī)劃轉(zhuǎn)向預(yù)留區(qū)路徑,基于垂直行進方向投影長度最小化原則確定中心作業(yè)區(qū)行方向;對主永久道網(wǎng)絡(luò)設(shè)計間隔梭行的遍歷順序,對子作業(yè)路徑層設(shè)計相鄰梭行遍歷順序;采用Dubins曲線設(shè)計銜接路徑,并設(shè)計潛在彈性出入口以解決作業(yè)彈性中斷路徑銜接問題;利用序列二次規(guī)劃算法求解滿足運動學(xué)約束的路徑,消除傳統(tǒng)直線-圓弧路徑的曲率突變?nèi)毕荨>C合考慮作業(yè)路徑占比、作業(yè)覆蓋率、曲率變化率、路徑躍度、壓實區(qū)域面積占比等指標(biāo),以機器人化作業(yè)平臺為對象進行田間路徑規(guī)劃試驗,結(jié)果表明,針對凸/凹多邊形地塊中,主永久道作業(yè)路徑長度占比達77.21%,子作業(yè)層作業(yè)路徑占比56.87%;作業(yè)覆蓋面積占比均達90.65%;最大曲率變化率不大于0.04m-2,躍度不大于0.05m-3;總壓實區(qū)域占比8.83%,將全生產(chǎn)周期作業(yè)路徑限制在永久固定道上,滿足受控交通農(nóng)業(yè)下機器人化作業(yè)平臺作業(yè)需求。

    Abstract:

    Aiming to address the autonomous operation requirements of robotic platforms under controlled traffic farming, a universally applicable full production cycle path planning method for polygonal agricultural fields was proposed. The method constructed a dual-layer structure comprising a primary permanent road network and a suboperation path layer. Paths in the steering reserved area were planned through equidistant scaling and vertex smoothing, while the row direction in the central operation area was determined by minimizing the projection length perpendicular to the travel direction. An interval-shuttle traversal sequence was designed for the primary road network, and an adjacent-shuttle sequence was adopted for the sub-operation path layer. Dubins curves were employed to design transitional paths, while potential elastic entry/exit points were incorporated to address path connectivity challenges caused by operational elasticity interruptions. The sequential quadratic programming algorithm was employed to generate paths satisfying kinematic constraints, eliminating curvature discontinuity defects inherent in traditional linear-arc path planning. Field experiments on robotic platforms demonstrated that, for convex/concave polygonal fields, the planned paths achieved 77.21% operational path length proportion in primary road path length proportion, 56.87% operational path proportion in sub-operation layer, 90.65% operational coverage rate for both layers, maximum curvature change rate was not greater than 0.04m-2, jerk limit was not greater than 0.05m-3, and total soil compaction area ratio was 8.83%, successfully confining all production cycle paths to permanent fixed roads and fulfilling CTF requirements for robotic operation platforms.

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閆洪峰,李法鐮,朱玉,李璐,吳海華,方憲法.受控交通農(nóng)業(yè)模式機器人化作業(yè)平臺路徑規(guī)劃方法[J].農(nóng)業(yè)機械學(xué)報,2025,56(6):155-166. YAN Hongfeng, LI Falian, ZHU Yu, LI Lu, WU Haihua, FANG Xianfa. Path Planning Method for Robotic Operation Platforms in Controlled Traffic Farming[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(6):155-166.

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  • 收稿日期:2025-04-21
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  • 在線發(fā)布日期: 2025-06-10
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