基于径向基函数和自组织映射的导弹控制系统健康状态评估

doi:10.12382/bgxb.2021.0219

摘要/Abstract

摘要： 传统导弹武器装备健康状态评估方法严重依赖设计人员与产品专家的经验与水平，效率低、准确度差。针对导弹的控制系统，提出基于径向基函数（RBF）网络观测器和自组织（SOM）网络的健康状态评估方法。利用基于RBF网络的自适应故障观测器计算输出信号的残差以及不同工作状态下的自适应判别阈值，通过比较残差和阈值实现故障检测；利用基于SOM网络的健康状态评估模型对残差进行聚类分析，通过距离度量实现健康状态评估；通过某型导弹的控制系统案例验证所提方法。结果表明：该方法能够准确地对10个不同的故障模式和10组不同的健康状态进行检测和评估，为维修保障和后勤管理提供有效的技术支撑。

关键词: 导弹控制系统, 健康状态评估, 径向基函数网络, 自组织映射网络, 自适应阈值

Abstract: Traditional health evaluation methods of missile weapon rely heavily on the experience and ability of designers and product experts，which is inefficient and inaccurate.For missile control system，a health state evaluation method based on Radial Basis Function（RBF） network observer and Self-organizing map（SOM）network is proposed. The adaptive fault observer based on RBF network is used to calculate the residuals of output signals and the adaptive discriminant thresholds under different working conditions. Through the comparison between the residual and threshold values，the fault detection is realized.The health evaluation model based on SOM network is used to realize the cluster analysis of residuals. Through the distance measurement，the health evaluation is realized.A missile control system case is used to verify that the proposed method can detect 10 different fault modes and evaluate 10 different health states accurately, and provides technical support for maintenance support and logistics management.

Key words: missilecontrolsystem, healthevaluation, radialbasisfunctionneuralnetwork, self-organizingmappingnetworks, adaptivethreshold

中图分类号:

TJ01
E919

刘月, 刘铁林, 姜相争, 韩月明. 基于径向基函数和自组织映射的导弹控制系统健康状态评估[J]. 兵工学报, 2022, 43(4): 931-939.

LIU Yue, LIU Tielin, JIANG Xiangzheng, HAN Yueming. Health Evaluation of Missile Control System based on RBF and SOM[J]. Acta Armamentarii, 2022, 43(4): 931-939.

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