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基于改進A*算法的地下無人鏟運機導(dǎo)航路徑規(guī)劃
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“十二五”國家科技支撐計劃資助項目(2013BAB02B07)和國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2011AA060408)


Navigation Path Planning of Unmanned Underground LHD Based on Improved A* Algorithm
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    摘要:

    提出一種基于改進A*算法的鉸接式地下鏟運機導(dǎo)航路徑規(guī)劃方法。針對地下鏟運機的鉸接結(jié)構(gòu),采用按鉸接角擴展節(jié)點的方法,,使擴展節(jié)點符合鏟運機的軌跡特性;針對巷道狹窄,,易于發(fā)生碰撞的問題,在估價函數(shù)中引入了碰撞威脅代價,,避免鏟運機與巷道壁發(fā)生碰撞。通過仿真試驗分析比較了傳統(tǒng)A*算法和所提出的改進A*算法的搜索性能,,驗證了改進A*算法可提高搜索效率,。通過多組試驗參數(shù)比較表明,當(dāng)碰撞代價加權(quán)系數(shù)為0.2時,,可以得到在避免碰撞情況下的最短路徑,。最后在實驗室環(huán)境下實現(xiàn)了無人鏟運機的路徑規(guī)劃及軌跡跟蹤。跟蹤結(jié)果表明,,采用所提出的算法規(guī)劃的導(dǎo)航路徑,,符合鏟運機的結(jié)構(gòu)特性,使跟蹤誤差保持在0.2m之內(nèi),,同時也可使鏟運機不與巷道發(fā)生碰撞,,實現(xiàn)安全行駛,驗證了所提方法的可行性和實用性,。

    Abstract:

    An improved A* algorithm based path planning method for unmanned underground loadhauldump (LHD) was proposed and verified. According to the articulated structure of the underground LHD, the nodes were expanded by the articulated angle, which makes the expended nodes match the trajectory characteristic of the LHD. In order to avoid collision, collision threat cost was designed and added into the evaluation function, which makes the navigation path exclude against the walls. Simulation and comparison results between the improved A* algorithm and tranditional one show that the improved A* algorithm is more efficient, and the shortest path without collision can be obtained when the weighting coefficient is 0.2. Moreover, a path planning and tracking test is carried out in lab environment. It is shown that the tracking precision can keep in a small range and the LHD can run without collision when the navigation path is given by the proposed algorithm, which proves the effectiveness and feasibility of the proposed algorithm.

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馬 飛,楊皞屾,顧 青,孟 宇.基于改進A*算法的地下無人鏟運機導(dǎo)航路徑規(guī)劃[J].農(nóng)業(yè)機械學(xué)報,2015,46(7):303-309. Ma Fei, Yang Haoshen, Gu Qing, Meng Yu. Navigation Path Planning of Unmanned Underground LHD Based on Improved A* Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):303-309.

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  • 收稿日期:2015-02-06
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  • 在線發(fā)布日期: 2015-07-10
  • 出版日期: 2015-07-10
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