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Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (12): 329453-329453.doi: 10.7527/S1000-6893.2023.29453

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Health assessment of LIMU based on evidential reasoning rule with dependent evidence

Shuaiwen TANG1, You CAO2(), Peng ZHANG3, Jiang JIANG1   

  1. 1.College of Systems Engineering,National University of Defense Technology,Changsha  410073,China
    2.Control Technology Teaching and Research Office,Rocket Army Sergeant School,Qingzhou  262500,China
    3.State Key Laboratory of Aerospace Dynamics,Xi’an Satellite Control Center,Xi’an  710043,China
  • Received:2023-08-16 Revised:2023-08-30 Accepted:2023-09-08 Online:2024-06-25 Published:2023-09-20
  • Contact: You CAO E-mail:936756268@qq.com
  • Supported by:
    National Natural Science Foundation of China(62303474);Natural Science Foundation of Shandong Province(ZR2023QF010)

Abstract:

The Laser Inertial Measurement Unit (LIMU) is an important navigation unit for the complex equipment system, and its good health state is of great significance for ensuring safe and stable operation of the system. In the health assessment of LIMU, there exist the problems of imperfect assessment indicator system, inconsistent assessment framework, dependent assessment indicators and uncertain parameters of assessment model. Based on the analysis of working mechanism of LIMU, a health assessment indicator system is constructed, and a health assessment method of LIMU is proposed based on the Evidential Reasoning Rule with Dependent Evidence (ERR-DE). Firstly, the concept of transformation matrix is proposed to achieve unified transformation of different assessment frameworks. Secondly, the coefficient of the variation-based weighting method is used to determine evidence weights, and the distance-based method is employed to determine evidence reliabilities. Then, based on the evidence reliability, a mechanism to determine the aggregation sequence of evidences is proposed, and an evidence dependence analysis method is proposed based on the Relative Total Dependence Coefficient (RTDC). Based on the Evidential Reasoning Rule (ERR), the ERR-DE is proposed. Furthermore, a parameter optimization model is constructed to determine the optimal assessment parameters and improve the assessment accuracy. The assessment algorithm is further summarized. Finally, the effectiveness of the proposed method is verified through a health assessment case study and comparative studies on a certain type of LIMU.

Key words: evidential reasoning rule, laser inertial measurement unit, health assessment, evidence dependence, parameter optimization

CLC Number: