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基于模糊自適應純追蹤模型的農業(yè)機械路徑跟蹤方法
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“十二五”國家科技支撐計劃資助項目(2011BAD20B06);中國科學院知識創(chuàng)新工程重要方向資助項目(KGCX2—YW—138)


Agricultural Machine Path Tracking Method Based on Fuzzy Adaptive Pure Pursuit Model
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    摘要:

    為了提高農業(yè)機械自動導航控制系統(tǒng)的精度,提出了一種基于模糊自適應純追蹤模型的農業(yè)機械路徑跟蹤方法。該方法基于純追蹤模型進行農業(yè)機械路徑跟蹤控制,結合農業(yè)機械運動學模型來確定車輪期望轉向角;采用模糊自適應控制在線自適應地確定純追蹤模型中的前視距離,提高了路徑跟蹤的精度。農業(yè)機械的路徑跟蹤實驗結果表明,路徑跟蹤的最大誤差不超過10cm,平均誤差小于5cm,完全滿足農業(yè)機械的作業(yè)要求,驗證了提出方法的可行性和有效性。

    Abstract:

    In order to improve the precision of a navigation control system for agricultural machines, the research on the path tracking method that is the core of an agricultural machine navigation system was carried out. An agricultural machine path tracking method based on fuzzy adaptive pure pursuit model was proposed. The method utilized pure pursuit method to conduct the path tracking control and determined the desired steering angle by combining with the agricultural machine kinematic model. The method made use of fuzzy adaptive control to find out the look-ahead distance online and adaptively, thus the path tracking precision gets enhanced. The results of the path tracking experiment for the agricultural machine show that the max tracking error is within 10cm and the mean error is no more than 5cm, so the proposed method can completely satisfy the operation requirement of agricultural machines and the feasibility and effectiveness of the method was verified.

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李逃昌,胡靜濤,高雷,劉曉光,白曉平.基于模糊自適應純追蹤模型的農業(yè)機械路徑跟蹤方法[J].農業(yè)機械學報,2013,44(1):205-210. Li Taochang, Hu Jingtao, Gao Lei, Liu Xiaoguang, Bai Xiaoping. Agricultural Machine Path Tracking Method Based on Fuzzy Adaptive Pure Pursuit Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(1):205-210.

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  • 在線發(fā)布日期: 2012-12-31
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