微型无人机传感器定位用mems - imu的标定问题

P. Clausen, J. Skaloud
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引用次数: 7

摘要

介绍了一种改进小型无人机上MEMS-IMU传感器姿态确定的三步程序。IMU预校准首先且仅在实验室进行一次;第二,在一个简化的版本和每一个开关在现场。它们共同消除了传感器确定性误差的主要部分,从而提高了粗对准和随后的精细对准的质量。同时,这允许在飞行过程中通过一个简单的程序使用多个imu进行降噪,这是通过卡尔曼滤波和平滑进行传统INS/GNSS集成之前的第三个也是最后一个阶段。这种方法的有效性在实际中得到了证明:i)关于执行激光扫描的直升机上的连续绝对参考,ii)使用用于高分辨率测绘的小型固定翼无人机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the calibration aspects of MEMS-IMUs used in micro UAVs for sensor orientation
We introduce a three step procedure to improve attitude determination by MEMS-IMU sensors on board a small UAV. IMU pre-calibration is performed first and only once in the lab; second in a simplified version and for every switch-on in the field. Together, they remove the prevailing part of sensor deterministic errors, which in turn improves the quality of coarse and subsequently fine alignment. At the same time this allows to proceed further during a flight with noise reduction using multiple IMUs through a simple procedure, which is the third and final phase prior the conventional INS/GNSS integration via Kalman filtering and smoothing. The effectiveness of this approach are demonstrated practically i) with respect to a continuous absolute reference on board of a helicopter performing laser-scanning and ii) with a small fixed-wing UAV employed for high-resolution mapping.
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