基于雷达测速的棉花精量直播机排种测控系统设计与试验
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湖北洪山实验室重大科研项目(2021hszd006)和湖北省棉花科技支撑计划项目(2023)


Design and Test of Seeding Measurement and Control System for Cotton Precision Directing Machine Based on Radar Speed Measurement
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    摘要:

    针对长江流域麦后棉区土壤黏重,地表留存秸秆残茬量大,地轮驱动方式易出现缠绕打滑、壅土现象,导致漏播、断条,且缺乏棉花导种与性能检测一体化装置等问题,设计了基于雷达测速的棉花精量直播机排种测控系统。构建了3路独立直流电机转速控制以及3路棉花种子流实时检测的云-端构架模式;设计了播种测控云平台,实现播种作业参数实时采集、显示、存储及多设备的管控;设计了模糊PID控制器,实现指定粒距的随速实时调控。利用Matlab开展了模糊PID控制器与PID控制器仿真对比试验。结果表明,模糊PID算法模型比PID算法模型超调量降低28.95%,上升时间减少28.57%,稳态时间减少22.22%。开展电机控制精度试验,结果表明,电机实际转速与理论转速最大误差为1.8%,平均误差为1.1%。台架试验结果表明,与JPS-16型计算机视觉试验台相比,测控系统检测合格指数、漏播指数、重播指数相差不大于1.3、0.7、0.8个百分点。路面试验结果表明,当作业速度为3.6~9.2m/h时,实际排种数与理论排种数最大误差为2.4%;单路检测准确率不小于97.44%。田间试验结果表明,当作业速度为3.6~9.2m/h时,本系统控制播种合格指数不小于90.81%,漏播指数不大于4.64%,粒距变异系数不大于14.38%。示范应用表明,该棉花精量直播机排种测控系统能够有效提升长江流域棉区麦后棉花直播机播种质量。

    Abstract:

    Aiming at the problems of sticky soil in the cotton area after wheat in the Yangtze River basin, large amount of straw stubble left on the ground surface, the ground wheel driving method is prone to winding slippage and congestion phenomenon, which leads to leakage of sowing, broken strips, and the lack of integrated device for cotton seed guiding and performance detection, thus a radar speed measurement based seeding measurement and control system of cotton precision direct seeding machine was designed. The cloud-end architecture model of 3-channel independent DC motor speed control and 3-channel real-time detection of cotton seed flow was constructed; the seeding measurement and control cloud platform was designed to realize real-time collection, display, storage and multi-device control of the seeding operation parameters; and the fuzzy PID controller was designed to realize real-time regulation and control of the specified grain spacing at the same time with the speed. Matlab was utilized to carry out a simulation comparison test between the fuzzy PID controller and the PID controller. The results showed that the fuzzy PID algorithm model reduced the overshooting amount by 28.95%, the rise time by 28.57%, and the steady state time by 22.22% than the PID algorithm model. The motor control accuracy test was carried out, and the results showed that the maximum speed error between the actual motor speed and the theoretical speed was 1.8%, and the average error was 1.1%. The results of the bench test showed that compared with the JPS-16 computer vision test bench, the difference between the qualified index, omission index and reseeding index detected by the measurement and control system was lower than 1.3, 0.7 and 0.8 percentage points, respectively. The results of the road test showed that the maximum error between the actual and theoretical number of seed rows was 2.4% at the operating speed of 3.6~9.2m/h; the accuracy of single-road detection was not less than 97.44%. The results of field test showed that at the operating speed of 3.6~9.2m/h, the seeding qualification index controlled by this system was higher than 90.81%, the leakage index was lower than 4.64%, and the coefficient of variation of grain spacing was lower than 14.38%. Demonstration application showed that this cotton precision direct seeding machine row seeding measurement and control system can effectively improve the quality of cotton direct seeding machine sowing after wheat in the cotton area of Yangtze River Basin.

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丁幼春,张驰海,董万静,詹振宇,魏松,农峰.基于雷达测速的棉花精量直播机排种测控系统设计与试验[J].农业机械学报,2025,56(5):59-70. DING Youchun, ZHANG Chihai, DONG Wanjing, ZHAN Zhenyu, WEI Song, NONG Feng. Design and Test of Seeding Measurement and Control System for Cotton Precision Directing Machine Based on Radar Speed Measurement[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(5):59-70.

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  • 收稿日期:2024-11-19
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  • 在线发布日期: 2025-05-10
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