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小麦种管作业通用自主移动平台设计与试验

Design and experiment of a general-purpose autonomous mobile platform for wheat seeding and field management operations

  • 摘要: 针对华北平原麦田土壤压实严重,现有移动平台功能单一及轮式底盘稳定性不足的问题,该研究设计了一种自走轮式小麦种管作业通用移动平台。根据小麦农艺要求,设计低质心、高通过性轻简车架,通过Ansys仿真校核了车架在两极限工况下的强度与变形。采用四驱四转行走系统与无级升降机构,构建模块化底盘控制系统,以满足种管作业换向、地隙调节及功能扩展需求。针对通用平台质心变化在复杂地形下易发生侧倾失稳的问题,建立三维斜坡分段式倾覆过程理论模型,明确轮载转移规律,提出预警临界与倾覆临界判据,分析倾覆对俯仰角与横滚角的敏感性,RecurDyn仿真结果与模型预测结果吻合较好,平均角偏差为-0.7°,RMSE为0.88°。为提高Π型作业跟踪精度,改进Stanley算法,引入横向误差平滑项与最小速度约束,并确定横向增益k=1.8,权重系数η=0.75,作业速度v=0.8 m/s为优选参数。车体性能试验表明:平台在水泥路面和土壤地面的直线横向偏移率分别为1.52%和1.35%,内侧转弯半径分别为0.69和0.99 m,可完成16°坡面爬升并通过10 cm凸起障碍。导航全程平均横向跟踪误差为0.049 m,匀速作业阶段误差为0.026 m。播种和松土试验表明,平台播种作业稳定,播深变异系数最大10.10%,排量变异系数1.61%;基于播种轨迹松土时,伤苗率小于2%,压苗率小于3%,松土效果良好。该平台具有通用性与模块化扩展潜力,可为小麦智能化作业平台设计提供参考。

     

    Abstract: To reduce soil compaction in wheat fields on the North China Plain, and to address the problems that most existing small mobile platforms are developed for a single operation and that wheeled chassis carrying variable operation units are prone to instability on slopes and uneven ground, a small general-purpose autonomous mobile platform was developed for fixed-track seeding and subsequent field management operations. According to the agronomic requirements of wheat, the platform adopted a lightweight frame, four-wheel drive, four-wheel steering, a stepless lifting mechanism, and a quick-hitch mounting frame. The whole machine consisted mainly of a frame, drive hub motors, steering servo motors, electric lift actuators, a mounting frame, a navigation system, a control system, and replaceable operation units. The overall dimensions were 2070 mm × 1540 mm × (11701620) mm, and the ground clearance could be adjusted from 370 to 820 mm according to crop height. Different operation units could be mounted by replacing the whole mounting frame or by adjusting individual components connected with U-bolts, which improved the adaptability of the platform to seeding, soil-loosening, and other field management operations. A modular control system with dual Controller Area Network channels was constructed. One channel coordinated chassis motion and lifting, while the other was reserved for the mounted operation units, enabling better integration of operation units and coordination with vehicle motion. Ansys simulation was used to check the strength and deformation of the frame under two limiting working conditions, and the results showed that the frame met the structural reliability requirements for field operation. To solve the instability problem caused by changes in the center of gravity after different operation units were mounted, a theoretical model of the segmented rollover process on a three-dimensional slope was established. The model described the transition from four-wheel support to three-wheel support, clarified the wheel load transfer law, and proposed warning threshold and rollover threshold criteria under coupled pitch and roll conditions. A multibody dynamic model was further established in RecurDyn for verification. The simulation results agreed well with the theoretical predictions, with an average angular deviation of -0.7° and a root mean square error of 0.88°, indicating that the model could be used to predict the support state of the platform during field operation. For autonomous operation, a Π-shaped fixed-track operation path was planned using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) positioning. The Stanley path-tracking algorithm was improved by introducing a lateral error smoothing term and a minimum speed constraint to improve the tracking accuracy during starting and non-uniform-speed operation. The optimized parameters were determined as a lateral gain of k=1.8, a weight coefficient of η=0.75, and an operating speed of v=0.8 m/s. Vehicle performance tests were conducted on cement pavement and soil ground, and seeding and field management function tests were carried out in wheat plots. The straight-line lateral offset rates of the platform on cement pavement and soil ground were 1.52% and 1.35%, respectively, and the inner turning radii were 0.69 and 0.99 m, respectively. The platform could climb a 16° slope and pass over a 10 cm obstacle, showing good trafficability and maneuverability in small plots. During autonomous navigation, the average lateral tracking error during the whole seeding operation was 0.049 m, and the average lateral tracking error in the uniform-speed operation stage was 0.026 m. The seeding test showed that the platform operated stably, with a maximum coefficient of variation of sowing depth of 10.10% and a coefficient of variation of seed discharge of 1.61%. The field soil-loosening test was conducted by reusing the seeding trajectory. The seedling injury rate was less than 2%, and the seedling crushing rate was less than 3%, indicating that the platform had good trajectory reuse performance for field management after seeding. The developed platform showed good adaptability to implement mounting, slope stability, path-tracking accuracy, and potential for modular expansion. This study can provide a reference for the design of lightweight and general-purpose intelligent platforms for wheat seeding and field management operations.

     

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