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Research on relative height measurement based on multi-sensor fusion technology

机译:基于多传感器融合技术的相对高度测量研究

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Real-time relative height measurement is very important for control system of agricultural plant protection UAV. In the paper we research a multi-sensor relative height fusion algorithm which combined radio altimeter, barometric altimeter, GPS satellite navigation receiver and inertial measurement unit. According to association with GPS speed value, a method which base variable coefficient is proposed to eliminate outlier errors of radio altimeter and an algorithm based half-step interpolation is used to reconstruct the radio altimeter data. A Kalman filter is used for fusion the multisensors measurement value and give the optimal estimation of relative height of UAV. Through the experiment data, the method can eliminate 95% outlier error, and the height measurement error is reduced to 0.15m. The method can be used in super low-altitude plant protection UAV flight control system.
机译:实时相对高度测量对于农业植保无人机的控制系统非常重要。本文研究了一种结合了无线电高度仪,气压高度仪,GPS卫星导航接收器和惯性测量单元的多传感器相对高度融合算法。根据与GPS速度值的关系,提出了一种基于基变量系数的消除无线电高度仪离群误差的方法,并采用基于半步插值的算法重构了无线电高度仪数据。卡尔曼滤波器用于融合多传感器测量值,并给出无人机相对高度的最佳估计。通过实验数据,该方法可以消除95%的离群误差,并将高度测量误差降低到0.15m。该方法可用于超低空植保无人机飞行控制系统。

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