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

被引：0

作者：

Dong X. ^{[1
]}

Zhou Z. ^{[1
]}

Hu C. ^{[1
]}

Feng Z. ^{[1
]}

Cao Y. ^{[1
]}

机构：

[1] Missile Engineering College, Rocket Force University of Engineering, Xi'an

来源：

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2021年 / 42卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Belief Rule Base (BRB); Expert system; Inertial Navigation System (INS); Performance evaluation; Small sample;

D O I：

10.7527/S1000-6893.2020.24456

中图分类号：

学科分类号：

摘要：

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. © 2021, Beihang University Aerospace Knowledge Press. All right reserved.

引用

共 21 条

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