基于AutoTrac的导航控制参数整定方法试验

    Navigation control parameter tuning method based on AutoTrac

    • 摘要: AutoTrac是领先的农业机械导航系统。田间作业环境的复杂与精细作业效果,要求人工经验实时调整转向灵敏度等最多9个导航控制参数。基于Taguchi法则设计正交试验整定AutoTrac关键灵敏度参数,并在约翰迪尔XUV825i全地形车上进行验证。在不同速度、土壤条件下进行RTK差分信号直线轨迹模式试验,先粗调后细调,建立行驶振荡与稳态横向偏差均方根误差两个指标整定稳态转向灵敏度、横向误差调整灵敏度和方向误差调整灵敏度优化区间。试验表明:速度、土壤条件的不同会明显影响系统稳态运行;该方法可在较少试验次数下整定关键导航控制参数,且所得参数优化区间经验证具有较强的鲁棒性与通用性。该文为导航控制参数自适应调节系统研制打下基础,可推广运用至其他导航系统。

       

      Abstract: Navigation control parameters tuning is a challenge for modern automatic guidance control,so as to keep the machine on the desired path or to approach the desired path as quickly as possible without too much overshooting.The John Deere’s AutoTrac is typical navigation system with a low-cost auto steering system incorporating a GPS receiver and built-in algorithm to control the vehicle’s steering wheel.To maintain the navigation performance of AutoTrac in different working conditions like soil properties and operation speed, the algorithm in the controller defines as many as nine parameters, a difficult and time-consuming task for normal operators.A universal navigation control parameters tuning method was proposed base on Taguchi method and orthogonal experiment.Verify experiments were carried out on John Deere’s AutoTrac with XUV825i gator vehicle.Tests were done with RTK signal under straight line navigation mode in different soil properties and operation speeds.Optimal range of key AutoTrac navigation control parameters, such as steering sensitivity, line sensitivity tracking and line sensitivity heading at steady-state, were found via first course tuning and then fine tuning.Tests results indicated that soil properties and operation speed had influence on navigation accuracy in stable.Moreover, the proposed method was proved to be efficient in tuning navigation control parameters.It was proved that the optimal range of navigation control parameters was suitable for normal agriculture environment.The proposed method was suitable for other automatic navigation system and it paved the way for further development of adaptive control system of navigation control parameters in autonomous navigation systems.

       

    /

    返回文章
    返回