Journal of South China University of Technology(Natural Science) >

2024 , Vol. 52 >Issue 10: 1 - 8

DOI: https://doi.org/10.12141/j.issn.1000-565X.230696

Electronics, Communication & Automation Technology

Research on Redundant Strapdown Inertial Navigation Information Fusion for eVTOL Aircraft

  • HU Qingchun ,
  • HUANG Si ,
  • CHEN Xingbin ,
  • ZHANG Ning ,
  • SU Qingpeng
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  • 1.School of Mechanical and Automotive Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China
    2.Guangdong Productivity Promotion Center，Guangzhou 510700，Guangdong，China
    3.Automotive Engineering Institute，Guangzhou Automobile Group Co. ，Ltd. ，Guangzhou 511434，Guangdong，China

Received date: 2023-11-06

  Online published: 2024-03-22

Supported by

the National Natural Science Foundation of China for Youths(52105148)

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Abstract

As a potential solution for future urban transportation, the using of electric vertical takeoff and landing (eVTOL) aircraft, has great potential to alleviate urban traffic congestion and improve air traffic efficiency. In its commonly used navigation systems, integrated navigation and sensor redundancy technology are usually used to improve system reliability and safety. However, in the current sensor redundancy technology of navigation systems, redundant sensors only serve as data backup, resulting in insufficient information utilization of measurement data. To address this issue, this paper took the integrated navigation system of a triple redundant strapdown inertial navigation system (SINS) and a global navigation satellite system (GNSS) as the research object and proposed a real-time estimation method for gyroscope noise based on second-order differencing and redundant information of the inertial measurement unit (IMU). It derived recursive expressions for gyroscope noise estimation in the case of two and three redundancies. After obtaining the estimated noise value of the gyroscope, the navigation information of SINS and GNSS was fused to improve the accuracy and robustness of the integrated navigation system. Through simulation and real sports car tests on the SINS/GNSS integrated navigation system, the results show that the method proposed in this paper can accurately estimate gyroscope noise. Compared with traditional fusion methods, the navigation accuracy and anti-interference ability of the combined navigation system are improved after introducing the real-time estimation of gyroscope noise, which has practical engineering significance.

Key words： integrated navigation; redundancy technology; noise estimation; second-order-mutual-difference algorithm

Cite this article

HU Qingchun , HUANG Si , CHEN Xingbin , ZHANG Ning , SU Qingpeng . Research on Redundant Strapdown Inertial Navigation Information Fusion for eVTOL Aircraft[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(10) : 1 -8 . DOI: 10.12141/j.issn.1000-565X.230696

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