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玉米中耕除草復合導航系統(tǒng)設計與試驗
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國家國際科技合作專項資助項目(2015DFG12280),、國家自然科學基金資助項目(31571570)和中央高?;究蒲袠I(yè)務費專項資金資助項目(2015XD004)


Design and Implementation of a Corn Weeding-cultivating Integrated Navigation System Based on GNSS and MV
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    摘要:

    為了實現(xiàn)玉米中耕除草過程中的自動導航作業(yè),,提高自動除草的效率和準確性,,設計了一種玉米中耕除草復合導航系統(tǒng),。系統(tǒng)由基于GNSS的農(nóng)機自動導航部分和基于機器視覺的農(nóng)具自動導航部分組成,,可通過GNSS位置信息進行農(nóng)機自動導航,,同時根據(jù)攝像頭獲取的玉米作物行信息控制農(nóng)具鏟刀進行行間除草,。對農(nóng)機的轉向控制部分和前輪轉角檢測部分進行了機械改裝,,以PLC和步進電機驅動器為基礎設計了農(nóng)機轉向控制電路和農(nóng)具液壓控制電路;以橫向偏差和橫向偏差變化率作為模糊控制的輸入變量設計了自適應模糊控制方法,;采用攝像頭獲取玉米作物行,,通過掃描濾波方法進行作物行檢測。農(nóng)機獨立導航除草試驗和農(nóng)機具復合導航試驗結果表明:在車速為0.6 m/s時,,農(nóng)機自動導航最大橫向偏差為10.04 cm,,平均偏差為4.62 cm;農(nóng)機具復合導航時的最大偏差為6.35 cm,,平均偏差為2.73 cm,;農(nóng)機具復合導航系統(tǒng)能較好地滿足玉米中耕除草的要求。

    Abstract:

    In order to achieve the automatic navigation of corn weeding-cultivating operations and improve the efficiency and accuracy of automatic weeding, a corn weeding-cultivating integrated navigation system based on GNSS and MV was designed and developed. The system, which consisted of two parts, the agricultural vehicle automatic navigation based on GNSS and the weeding implement navigation based on machine vision, could achieve automatic navigation in the process of corn weeding-cultivating. In order to avoid the damage corn, the proper safety distance between implement moldboard and crop rows is necessary when the agricultural machinery is working, which is controlled by tracing the GNSS information of corn planting navigation and the image information of crop rows acquired by industrial camera. During the hardware part, the steering wheel controlling and the front wheel angle testing parts were designed and refitted. The steering control circuit and the implement moldboard hydraulic control circuit were designed based on PLC and stepper motor drive. To the vehicle navigation, the steering wheel controlling and the front wheel angle testing institutions were designed. The vehicle operated through tracing the corn row by the GNSS information of corn planting navigation. In the integrated navigation intelligent decision module, the fuzzy control system was taken as the main control algorithm for navigation control decisions, and the lateral deviation of agricultural machinery and lateral deviation error rate were used as input variables of fuzzy control. In the implement visual navigation module, the crop row detection algorithm based on scanning filter was adopted, which could improve the precision of navigation line detection and processing efficiency.Corresponding experiments were designed to test the feasibility of the system,,the accuracy of automatic navigation were calculated respectively. The results show that, in the speed of 0.6 m/s, the maximum lateral deviation of GNSS navigation is 10.04 cm, the average deviation is 4.62 cm. The maximum lateral deviation of integrated navigation is 6.35 cm, the average deviation is 2.73 cm. The corn weeding-cultivating integrated navigation system can effectively satisfy the requirement of the corn weeding.

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張漫,項明,魏爽,季宇寒,仇瑞承,孟慶寬.玉米中耕除草復合導航系統(tǒng)設計與試驗[J].農(nóng)業(yè)機械學報,2015,46(S1):8-14. Zhang Man, Xiang Ming, Wei Shuang, Ji Yuhan, Qiu Ruicheng, Meng Qingkuan. Design and Implementation of a Corn Weeding-cultivating Integrated Navigation System Based on GNSS and MV[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(S1):8-14.

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  • 收稿日期:2015-10-28
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  • 在線發(fā)布日期: 2015-12-30
  • 出版日期: 2015-12-31
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