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一种基于旋转调制技术的新型微机电系统(MEMS)陀螺寻北仪设计

A Novel MEMS Gyro North Finder Design Based on the Rotation Modulation Technique.

作者信息

Zhang Yongjian, Zhou Bin, Song Mingliang, Hou Bo, Xing Haifeng, Zhang Rong

机构信息

Engineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.

出版信息

Sensors (Basel). 2017 Apr 28;17(5):973. doi: 10.3390/s17050973.

Abstract

Gyro north finders have been widely used in maneuvering weapon orientation, oil drilling and other areas. This paper proposes a novel Micro-Electro-Mechanical System (MEMS) gyroscope north finder based on the rotation modulation (RM) technique. Two rotation modulation modes (static and dynamic modulation) are applied. Compared to the traditional gyro north finders, only one single MEMS gyroscope and one MEMS accelerometer are needed, reducing the total cost since high-precision gyroscopes and accelerometers are the most expensive components in gyro north finders. To reduce the volume and enhance the reliability, wireless power and wireless data transmission technique are introduced into the rotation modulation system for the first time. To enhance the system robustness, the robust least square method (RLSM) and robust Kalman filter (RKF) are applied in the static and dynamic north finding methods, respectively. Experimental characterization resulted in a static accuracy of 0.66° and a dynamic repeatability accuracy of 1°, respectively, confirming the excellent potential of the novel north finding system. The proposed single gyro and single accelerometer north finding scheme is universal, and can be an important reference to both scientific research and industrial applications.

摘要

陀螺寻北仪已广泛应用于机动武器定向、石油钻探等领域。本文提出了一种基于旋转调制(RM)技术的新型微机电系统(MEMS)陀螺寻北仪。应用了两种旋转调制模式(静态和动态调制)。与传统陀螺寻北仪相比,仅需一个MEMS陀螺仪和一个MEMS加速度计,由于高精度陀螺仪和加速度计是陀螺寻北仪中最昂贵的部件,因此降低了总成本。为了减小体积并提高可靠性,首次将无线供电和无线数据传输技术引入旋转调制系统。为了增强系统鲁棒性,分别在静态和动态寻北方法中应用了鲁棒最小二乘法(RLSM)和鲁棒卡尔曼滤波器(RKF)。实验表征结果分别得到静态精度为0.66°和动态重复性精度为1°,证实了新型寻北系统的优异潜力。所提出的单陀螺和单加速度计寻北方案具有通用性,可为科研和工业应用提供重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7461/5464685/a3b6bcc26760/sensors-17-00973-g001.jpg

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