Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (11): 2591-2599.doi: 10.3969/j.issn.1001-506X.2020.11.22

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Networking redundant MEMS inertial sensor network optimal configuration and fusion processing method

Long MA1(), Yuzhe LIU1(), Chaofan DAI2(), Hang ZHOU1(), Fengming SUN1()   

  1. 1. Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China
    2. Beijing Aeronautical Science & Technology Research Institute, Commercial Aircraft Corporation of China, Beijing 102211, China
  • Received:2020-02-13 Online:2020-11-01 Published:2020-11-05

Abstract:

To improve the precision and reliability of the single inertial sensor, an optimal configuration and fusion processing method of inertial sensing network for the network redundant micro-electro-mechanical system (MEMS) is proposed. Firstly, the spatial configuration of multi-inertial sensor nodes is investigated, and the network observation model is proposed. By utilizing the optimal redundancy configuration, the reliability of the system is improved. On the basis, the impacts of the installation errors for the MEMS gyroscope and the accelerometer on output are further considered, the error model and the correction algorithm are proposed. By setting the random walk as the major error source, a novel Kalman filter method is designed, and the navigation information with high precision is calculated under the condition of redundancy configuration. The experiments on a self-built system show that the proposed fusion method can substantially reduce the random walk errors of the gyroscope and the accelerometer. The on-vehicle test further verifies the effectiveness of the proposed method and system.

Key words: inertial sensing network, optimal configuration, redundant structure, error model, Kalman filter

CLC Number: 

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