基于分层置信规则库的惯导系统性能评估方法

doi:10.7527/S1000-6893.2020.24456

Abstract

Abstract: To solve the problems of high-value sample shortage, multiple evaluation indicators, and system complexity in the performance evaluation of the Inertial Navigation System (INS), we propose a performance evaluation method for the INS based on the hierarchical Belief Rule Base (BRB). By integrating the expert knowledge and the monitoring data, the performance evaluation accuracy of the INS is significantly improved. Firstly, a hierarchical BRB model is established for the INS structure, considering the combined errors generated by the internal components of the system. Then, to reduce the influence of expert knowledge uncertainty on the evaluation accuracy of the initial model, the Projection operator-based Covariance Matrix Adaptive optimization Strategy (P-CMA-ES) is employed to construct the optimization model, where the model parameters are fine-tuned using the monitoring data. Finally, a certain type of strapdown INS is taken as an example, verifying the effectiveness of the proposed method.

Key words: Inertial Navigation System (INS), performance evaluation, Belief Rule Base (BRB), expert system, small sample

CLC Number:

V249.32⁺2

DONG Xinhao, ZHOU Zhijie, HU Changhua, FENG Zhichao, CAO You. Performance evaluation method for inertial system based on hierarchical belief rule base[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(7): 324456-324456.

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Performance evaluation method for inertial system based on hierarchical belief rule base

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