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基于多約束條件的果園噴霧機(jī)器人路徑規(guī)劃方法
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國(guó)家自然科學(xué)基金項(xiàng)目(32171908)


Orchard Spray Robot Planning Algorithm Based on Multiple Constraints
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    摘要:

    果園噴霧機(jī)器人路徑軌跡規(guī)劃影響機(jī)器人行駛路線的平滑線和行駛過(guò)程的可靠性和平穩(wěn)性。針對(duì)目前果園噴霧機(jī)器人路徑規(guī)劃中存在的轉(zhuǎn)彎處參考軌跡不夠平滑,、曲率較大,、行駛不平穩(wěn)等問(wèn)題,提出了一種基于果園噴霧機(jī)器人運(yùn)動(dòng)學(xué)多約束條件的三次非均勻B樣條曲線果園噴霧機(jī)器人軌跡優(yōu)化方法,。通過(guò)先驗(yàn)地圖獲取樹(shù)行位置信息對(duì)行間路徑點(diǎn)進(jìn)行擬合處理,,保證果園噴霧機(jī)器人行駛在樹(shù)行中心線上符合噴霧作業(yè)要求,,綜合考慮最小轉(zhuǎn)彎半徑、首末端點(diǎn)約束,、轉(zhuǎn)向機(jī)構(gòu)延遲約束,、曲率連續(xù)等多約束條件構(gòu)建路徑曲率最小化目標(biāo)函數(shù),并通過(guò)最優(yōu)化算法求解待優(yōu)化的曲線參數(shù),,生成符合果園噴霧機(jī)器人行駛要求的全局路徑,,最后采用純跟蹤算法進(jìn)行跟蹤試驗(yàn)來(lái)驗(yàn)證機(jī)器人行駛精度。仿真與試驗(yàn)結(jié)果表明,,規(guī)劃生成軌跡的最大曲率為0.31m-1,平均曲率為0.15m-1,,符合果園噴霧機(jī)器人的行駛要求,;針對(duì)該軌跡跟蹤行駛的平均橫向誤差為0.225m,標(biāo)準(zhǔn)差為0.031m,,滿足果園噴霧機(jī)器人在果園內(nèi)噴霧作業(yè)時(shí)對(duì)行駛精度的要求,。

    Abstract:

    The path trajectory planning of orchard spray robot affects the smooth line of robot driving route and the reliability and smoothness of the driving process which needs more comprehensive consideration and more comprehensive planning. Aiming at the problems that the reference trajectory at the turn is not smooth enough and the curvature is large in the path planning of orchard spray robot, a trajectory optimization method of cubic non-uniform B-spline curve for orchard spray robot based on kinematics multiple constraints of orchard spray robot was proposed. The prior map was used to obtain the position information of the tree rows, and the path points between the rows were fitted to ensure that the orchard spray robot driving on the center line of the tree row met the requirements of the spray operation. The objective function of minimizing the path curvature was constructed by considering the minimum turning radius, the constraint of the first and end points, the delay constraint of the steering mechanism, and the continuity of curvature. The curve parameters to be optimized were solved by the optimization algorithm, and the global path that met the driving requirements of the orchard spray robot was generated. Finally, the pure tracking algorithm was used to verify the driving accuracy of the robot. The simulation and test results showed that the maximum curvature of the planned trajectory was 0.31m-1, and the average curvature was 0.15m-1, which met the driving requirements of the orchard spray robot. The average error of the trajectory tracking driving was 0.225m, and the mean square error was 0.031m, which met the requirements of the orchard spray robot for driving accuracy when spraying in the orchard.

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沈躍,劉子涵,劉慧,杜偉.基于多約束條件的果園噴霧機(jī)器人路徑規(guī)劃方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2023,54(7):56-67. SHEN Yue, LIU Zihan, LIU Hui, DU Wei. Orchard Spray Robot Planning Algorithm Based on Multiple Constraints[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(7):56-67.

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  • 收稿日期:2022-11-23
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  • 在線發(fā)布日期: 2023-07-10
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