Semiconductor Optoelectronics, Volume. 42, Issue 6, 784(2021)

MEMS Gyro Temperature Compensation Based on PSO Optimization RBF Neural Network Algorithm

LIU Yu1... ZHANG Xiaoguang1, QIN Xiaojuan1, LU Yongle1, YANG Yinchuan2, DI Ke1 and LI Renpu1 |Show fewer author(s)
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  • 2[in Chinese]
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    References(9)

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    [3] [3] Cao H L, Li H S, Kou Z W, et al. Optimization and experimentation of dual-mass MEMS vibration gyroscope quadrature error correction methods[J]. Sensors, 2016, 16(1): 71-91.

    [4] [4] Niu X J, Li Y, Zhang H P, et al. Fast thermal calibration of low-grade inertial sensors and inertial measurement units[J]. Sensors, 2013, 13(9): 12192-12217.

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    [6] [6] Fan C L, Jin Z H, Tian W F, et al. Temperature drift modelling of fibre optic gyroscopes based on a grey radial basis function neural network[J]. Measurement Science and Technology, 2004, 15(1): 119-126.

    [7] [7] Li J L, Jiao F, Fang J C, et al. Temperature error modeling of RLG based on neural network optimized by PSO and regularization[J]. IEEE Sensor J., 2014, 14(3): 912-919.

    [9] [9] Yang P X, Qin Y Y, You J C. Temperature compensation for RLG based on neural network[J]. Proc. of SPIE, 2010, 7544(8): 1796-1799.

    [10] [10] Cheng J H, Qi B, Chen D D, et al. Modification of an RBF ANN-based temperature compensation model of interferometric fiber optical gyroscopes[J]. Sensors, 2015, 15(5): 11189-11207.

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    LIU Yu, ZHANG Xiaoguang, QIN Xiaojuan, LU Yongle, YANG Yinchuan, DI Ke, LI Renpu. MEMS Gyro Temperature Compensation Based on PSO Optimization RBF Neural Network Algorithm[J]. Semiconductor Optoelectronics, 2021, 42(6): 784

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    Paper Information

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    Received: Jan. 16, 2021

    Accepted: --

    Published Online: Feb. 14, 2022

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2021011602

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