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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2018> 27(4): 623-629
Yu Liu, Gaojun Xiang, Junqi Guo, Min Zhou, Hongzhi Liu. Novel On-Line North-Seeking Method Based on a Three-Axis MEMS Gyroscope[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(4): 623-629. doi: 10.15918/j.jbit1004-0579.17128
Citation: Yu Liu, Gaojun Xiang, Junqi Guo, Min Zhou, Hongzhi Liu. Novel On-Line North-Seeking Method Based on a Three-Axis MEMS Gyroscope[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(4): 623-629.doi:10.15918/j.jbit1004-0579.17128
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Novel On-Line North-Seeking Method Based on a Three-Axis MEMS Gyroscope

doi:10.15918/j.jbit1004-0579.17128

  • Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

  • Received Date:2017-08-19
    Abstract
  • A novel on-line north-seeking method based on a three-axis micro-electro-mechanical system (MEMS) gyroscope is designed. This system processes data by using a Kalman filter to calibrate the installation error of the three-axis MEMS gyroscope in complex environment. The attitude angle updating for quaternion, based on which the attitude instrument will be rotated in real-time and the true north will be found. Our experimental platform constitutes the dual-axis electric rotary table and the attitude instrument, which is developed independently by our scientific research team. The experimental results show that the accuracy of north-seeking is higher than 1°, while the maximum root mean square error and the maximum mean absolute error are 0.906 7 and 0.910 0, respectively. The accuracy of north-seeking is much higher than the traditional method.
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    • References (12)
  • [1]
    Qin Yongyuan. Inertial navigation[M]. Beijing:Science Press, 2014. (in Chinese)
    [2]
    Abbas A. Design and implementation of FOG based gyrocompass[J]. Applied Mechanics and Materials, 2013, 332:124-129.
    [3]
    Zhang Chenghao, Chen Jiabin, Xu Jianhua, et al. Application of correlation detection in rotation-modulation north-seeking based on MEMS gyroscope[C]//Guidance, Navigation and Control Conference, Yantai, China,2015:441-445.
    [4]
    Johnson B R, Cabuz E, French H B, et al. Development of a MEMS gyroscope for northfinding applications[C]//Position Location and Navigation Symposium, Indian Wells, CA, USA, 2010:168-170.
    [5]
    Liu Y, Liu S, Wang C, et al. A new north-seeking method based on MEMS gyroscope[J]. Sensors & Transducers, 2014, 178(9):14-19.
    [6]
    Iozan L I, Kirkko-Jaakkola M, Collin J, et al. North finding system using a MEMS gyroscope[C]//Proceedings of European Navigation Conference on Global Navigation Satellite Systems, Braunschweig, Germany, 2010:19-21.
    [7]
    Peesapati R, Sabat S L, Karthik K P, et al. Efficient hybrid Kalman filter for denoising fiber optic gyroscope signal[J]. Optik-International Journal for Light and Electron Optics, 2013, 124(20):4549-4556.
    [8]
    Fan Jianying, Li Jie, Chen Wenrong, et al. Calibration and compensation method on installation error of high precision digital gyroscope[J]. Chinese Journal of Sensors & Actuators, 2013, 26(4):525-529.
    [9]
    Pradeep Lall, Amrit Singh Abrol, Jeff Suhling, et al. Effect of simultaneous high temperature and vibration on MEMS based vibratory gyroscope[C]//Thermal and Thermomechanical Phenomena in Electronic Systems, Orlando, FL, USA,2017:1214-1228.
    [10]
    Yuan Xuebing, Yu Shuai, Zhang Shengzhi, et al. Quaternion-based unscented Kalman filter for accurate indoor heading estimation using wearable multi-sensor system[J]. Sensors, 2015, 15(5):10872-10890.
    [11]
    Li Wei, Wang Jinling. Effective adaptive Kalman filter for MEMS-IMU/magnetometers integrated attitude and heading reference systems[J]. The Journal of Navigation, 2013, 66(1):99-113.
    [12]
    Liu Yu. Solid-state vibrating gyroscope and navigation technology[M]. Beijing:China Aerospace Publishing House, 2010.(in Chinese)
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