小卫星健康状态自主模糊综合评估方法  

Autonomous Fuzzy Comprehensive Evaluation Method for Small Satellite Health State

作　　者：周治国[1] 马文浩 刘杰强 冯荣尉 ZHOU Zhiguo;MA Wenhao;LIU Jieqiang;FENG Rongwei(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;Beijing Orient Institute of Measurement and Test,Beijing 100094,China)

机构地区：[1]北京理工大学信息与电子学院,北京100081 [2]北京东方计量测试研究所,北京100094

出　　处：《电子与信息学报》2022年第10期3553-3565,共13页Journal of Electronics & Information Technology

摘　　要：当前卫星地面测试系统实时属性突出,但由于对数据挖掘分析不足,难以实现卫星系统级的健康诊断,需人工完成综合评估,存在效率低、通用性差等问题。该文提出一种多层次异构卫星系统综合评估方法,依据数据中缓变量、急变量和关键变量的特性,分别实现基于高斯分布模型、长短期记忆模型(LSTM)和统计模型的单项评估生成单因素模糊向量,采用离差最大化方法实现层次分析法和熵权法的主客观权值向量组合,基于模糊综合评判的方法对卫星状态进行全面综合评价,实现评估流程的自动化和智能化。在小卫星半实物仿真平台进行系统验证,结果表明该评估方法能有效地对卫星系统的健康状态进行全面评估。The current satellite ground test system has outstanding real-time attributes,but due to insufficient data mining and analysis,it is difficult to achieve satellite system-level health diagnosis.Comprehensive evaluation needs to be completed manually,and there are problems such as low efficiency and poor versatility.A comprehensive evaluation method for multi-level heterogeneous satellite systems is proposed in this paper.According to the characteristics of the slow,urgent,and key variables in the data,the single-item evaluation generation sheet based on the Gaussian distribution model,the Long Short-Term Memory model(LSTM)and the statistical model is realized respectively.The maximum deviation method is used to realize the combination of subjective and objective weight vector of the analytic hierarchy process and entropy weight method,and comprehensively evaluate the satellite state based on the fuzzy comprehensive evaluation method,and the automation and intelligence of the evaluation process are realized.The system verification is carried out on the small satellite semi-physical simulation platform,and the results show that the evaluation method can effectively evaluate the health status of the satellite system.

关 键 词：卫星地面测试 卫星状态综合评估 模糊综合评价 长短期记忆模型 组合赋权 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]