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Improved inclination correction method applied to the guidance system of agricultural vehicles

机译:改进的倾斜校正方法应用于农用车辆引导系统

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This research introduces a new inclination correction method with increased accuracy applied to the guidance system of an agricultural vehicle. The method considers the geometry of a robot tractor and uses an Inertial Measurement Unit (IMU) to correct the lateral error of the RTK-GPS antenna measurements raised by the tractor's inclinations. A parameters optimization experiment and an automatic guidance experiment under real working conditions were used to compare the accuracy of a traditional correction method with the new correction method, by calculating the RMSE of the lateral error and the error reduction percentage. An additional tuned correction method was found by using a simple analytical method to find the optimal variables that reduced the lateral error to a minimum. The results indicate that the new correction method and the tuned correction method display a significant error reduction percentage compared to the traditional correction method. The methods could correct the GPS lateral error caused by the roll inclinations in real-time. The resulting lateral deviation caused by the tractor's inclinations could be reduced up to 23% for typical travelling speeds.
机译:本研究介绍了一种新的倾斜校正方法,其精度增加到农业车辆的引导系统。该方法考虑机器人拖拉机的几何形状,并使用惯性测量单元(IMU)来校正由拖拉机倾斜度提高的RTK-GPS天线测量的横向误差。参数优化实验和实际工作条件下的自动引导实验用于比较传统校正方法的准确性,通过计算横向误差的RMSE和误差减少百分比。通过使用简单的分析方法找到额外的调谐校正方法来找到将横向误差降低到最小值的最佳变量。结果表明,与传统校正方法相比,新的校正方法和调谐校正方法显示出显着的误差减少百分比。该方法可以实时校正由卷倾斜引起的GPS横向误差。由拖拉机倾斜度引起的由此产生的横向偏差可以减少典型行驶速度的23%。

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