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An Experimental Performance Evaluation of the Orientation Accuracy of Four Nine-Axis MEMS Motion Sensors

机译:四个九轴MEMS运动传感器的定向精度的实验性能评估

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MEMS (Micro-Electro-Mechanical Systems) inertial motion sensors have greatly improved the intelligence of wearable devices, sports fitness equipment, and consumer electronics. To avoid the disadvantages of each discrete inertial sensor, the tendency is to combine and fuse several different types of inertial motion sensors; thus, consumer-grade inertial motion sensors even have the same performance with the industrial-grade sensors. This study presents an overview of multi-axis sensor fusion algorithms and their applications. Furthermore, three typical consumer-grade AHRS (attitude and heading reference system) were verified compared with an industrial-grade sensor module (MTi-300), and three-axis orientation outputs of these sensors were compared. Static and dynamic experiment results show that MTi-300 has the best orientation accuracy (static error=0.05°, dynamic error=0.5°) compared to the other three sensor modules. Moreover, BNO055 has a better dynamic performance while compared with the other two consumer-grade motion sensors.
机译:MEMS(微机电系统)惯性运动传感器极大地提高了可穿戴设备,运动健身设备和消费电子产品的智能性。为了避免每个离散惯性传感器的缺点,趋势是将几种不同类型的惯性运动传感器组合并融合在一起。因此,消费级惯性运动传感器甚至具有与工业级传感器相同的性能。这项研究概述了多轴传感器融合算法及其应用。此外,与工业级传感器模块(MTi-300)相比,验证了三种典型的消费级AHRS(姿态和航向参考系统),并对这些传感器的三轴方向输出进行了比较。静态和动态实验结果表明,与其他三个传感器模块相比,MTi-300具有最佳的定位精度(静态误差= 0.05°,动态误差= 0.5°)。此外,与其他两个消费级运动传感器相比,BNO055具有更好的动态性能。

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