基于功率测量的联合收获机喂入量检测方法研究
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国家重点研发计划项目(2016YFD0700300-2016YFD0700304)


Analysis and Comparison of Feed Rate Detection Methods of Combine Harvester Based on Power Detection
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    摘要:

    为了准确分析联合收获机不同喂入量检测方法的精度,提出基于割台主动轴功率和倾斜输送器功率的2种喂入量检测方法。以河北冬小麦作为试验对象,以新疆-3型联合收获机为试验平台,进行了喂入量检测系统田间试验。喂入量检测系统包括割台主动轴扭矩传感器、倾斜输送器动力轴扭矩传感器、割台主动轴转速传感器和车载工控机等。对2种喂入量检测方法进行分析,根据试验数据分别建立计算模型,将2种方法的检测结果与实测结果进行对比,结果表明,基于割台主动轴功率的喂入量检测方法平均相对误差为19.6%,基于倾斜输送器功率的喂入量检测方法平均相对误差为16.1%。2种方法的检测精度在一定程度上能满足田间应用需求,基于倾斜输送器功率的喂入量检测方法检测精度稍高。

    Abstract:

    Power measurement is one of the important methods for the detection of feed rate of combine harvester. In order to more accurately analyze the accuracy of the feed rate detection methods at different positions, two feed rate detection methods and devices were designed based on power of header driving shaft and power of tilting conveyor. Winter wheat in Hebei Province was used as the test object, and Xinjiang-3 harvester was used as a test platform and a system test was performed. The feeding amount detection system included a header active shaft torque sensor, a tilting conveyor power shaft torque sensor, a header active shaft speed sensor, and an on-board industrial computer. Through field experiments, two feed rate detection methods were analyzed and compared, and the calculation models were established based on the test data. The test results showed that the relative error of the method based on the power of driving shaft of cutting table was 19.6%, and the relative error of the method based on power of tilting conveyor was 16.1%. The detection accuracy of both methods can meet the needs of field application to a certain extent. The detection accuracy of feed quantity based on power of inclined conveyor was slightly higher than that based on power of driving shaft of cutting table.

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孙意凡,刘仁杰,欧颢,张振乾,张漫,李寒.基于功率测量的联合收获机喂入量检测方法研究[J].农业机械学报,2020,51(5):118-123. SUN Yifan, LIU Renjie, OU Hao, ZHANG Zhenqian, ZHANG Man, LI Han. Analysis and Comparison of Feed Rate Detection Methods of Combine Harvester Based on Power Detection[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(5):118-123.

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  • 收稿日期:2020-02-04
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  • 在线发布日期: 2020-05-10
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