基于Fuzzy ARTMAP的GPS/INS组合导航系统故障诊断

将基于双状态传播器的状态χ2检验法(SCST)结合Fuzzy ARTMAP神经网络应用于GPS/INS紧组合导航系统故障的诊断和参数识别。首先,采用双状态传播器的状态χ2检验法对组合导航系统进行故障检测,得到故障的特征模式,并给出了双状态传播器重置时间间隔选择的充分条件;然后,利用Fuzzy ARTMAP神经网络结合特定的飞行器机动对故障模式进行分类,给出了一种新的分类方法;对于飞行器按照不同轨迹进行飞行的情况,也可有效的识别故障源。最后将分类的结果送入另一个Fuzzy ARTMAP神经网络进行故障参数的估计。仿真结果表明,针对组合导航系统中陀螺、加速度计、GPS信号的一度故障,此方法能有效进行检测和隔离,并能准确估计出故障发生时间和故障幅值。     

航天器姿态容错控制技术研究现状与发展

更远、更复杂的人类空间探测任务要求航天器具有更高的可靠性,因此航天器的容错控制技术受到了广泛关注。对航天器姿态系统的容错控制技术发展现状进行了分析,总结了国内外近年来航天器姿态容错控制的成果,重点分析了利用自适应控制、滑模控制、模糊控制、神经网络控制等理论开展容错控制的进展,并分别阐述了采用不同技术途径发展容错控制的优缺点。最后,展望了航天器姿态容错控制技术未来的发展。     

基于模糊数学的用户满意度评价

针对航天产品和服务,文章简要阐述了应用模糊数学进行用户满意度评价的具体应用方法和步骤,给出了具有实际意义的评价结论。     

Regional modeling of the ionosphere using adaptive neuro-fuzzy inference system in Iran

In recent years, new techniques and algorithms such as Artificial Neural Networks (ANNs), Fuzzy Inference Systems (FIS) and Genetic Algorithm (GA) have been used as alternative statistical tools in modeling and forecasting issues. These methods have been extensively used in the field of geosciences and atmospheric physics. The main purpose of this paper is to combine FIS and ANNs for local modeling of the ionosphere Total Electron Content (TEC) in Iran. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is developed for TEC modeling. Also, Multi-Layer Perceptron ANN (MLP-ANN) and ANN based on Radial Base Functions (RBF) have been designed for analyzing ANFIS results. Observations of 29 Global Positioning System (GPS) stations from the Iranian Permanent GPS Network (IPGN) have been used in 3 different seasons in 2015 and 2016. These stations are located at geomagnetic low latitudes region. Out of these 29 stations, 24 stations for training and 5 stations for testing and validating were selected. The relative and absolute errors have been used to evaluate the accuracy of the proposed model. Also, the results of this paper are compared with the International Reference Ionosphere model (IRI2016). The maximum values of the average relative error for RBF, MLP-ANN, ANFIS and IRI2016 methods are 13.88%, 11.79%, 10.06%, and 18.34%, respectively. Also, the maximum values of the average absolute error for these methods are 2.38, 2.21, 1.5 and 3.36 TECU, respectively. Comparison of diurnal predicted TEC from the ANFIS, RBF, MLP-ANN and IRI2016 models with GPS-TEC revealed that the ANFIS provides more accurate predictions than the other methods in the test area.     

模糊层次分析法在机场备用电源选择中的应用

传统观念认为只有柴油发电机组才适合作机场备用电源，其实国际民航组织并没有对备用电源采用何种设备做出具体限制，备用电源的选择面很广。结合当前新兴的微型燃气轮机发电技术和燃料电池发电技术，采用模糊层次分析法(Fuzzy AHP)，对这三种电源进行综合性能评价，把难以量化的因素数字化，做出了具体的方案排序向量，为设计人员在实际工程中选用备用电源提供了参考。     

测量船工况智能设计策略

针对以往海上测控方案中测量船工况设计存在的不足及后续测控工作的需要，以测量船工作弧段要求及历史数据为前提，以天线增益、航线保障等多个约束条件为设计要素，结合设计流水线、知识表达、模糊综合评估、遗传算法等多种设计方法，提出了一种智能化的测量船工况设计策略。     

用模糊聚类算法快速定位小卫星在轨运行故障

针对小卫星在轨系统复杂，监测点众多以及测量信息固有的不确定性等特点，采用一种 化的模糊Ｃ均值聚类算法快速定位在轨运行故障，并以哈尔滨工业大学卫星工程技术研究所研制的立体测绘微小卫星为背景以达到实际应用的目的。     

Fuzzy norm method for evaluating random vibration of airborne platform from limited PSD data

For random vibration of airborne platform, the accurate evaluation is a key indicator to ensure normal operation of airborne equipment in flight. However, only limited power spectral density（PSD） data can be obtained at the stage of flight test. Thus, those conventional evaluation methods cannot be employed when the distribution characteristics and priori information are unknown. In this paper, the fuzzy norm method（FNM） is proposed which combines the advantages of fuzzy theory and norm theory. The proposed method can deeply dig system information from limited data, which probability distribution is not taken into account. Firstly, the FNM is employed to evaluate variable interval and expanded uncertainty from limited PSD data, and the performance of FNM is demonstrated by confidence level, reliability and computing accuracy of expanded uncertainty. In addition, the optimal fuzzy parameters are discussed to meet the requirements of aviation standards and metrological practice. Finally, computer simulation is used to prove the adaptability of FNM. Compared with statistical methods, FNM has superiority for evaluating expanded uncertainty from limited data. The results show that the reliability of calculation and evaluation is superior to 95%.     

MATLAB在调压铸造系统智能控制仿真中的应用

ＭＡＴＬＡＢ是一种面向科学与工程计算的高级语言，应用ＭＡＴＬＡＢ进行控制系统的计算机辅助设计快捷方便。本文在介绍了ＭＡＴＬＡＢ对模糊控制系统进行分析与仿真的基础上，以一调压铸造智能控制系统为例，详细叙述了其应用原理与过程，并给出了仿真结果。实践证明，ＭＡＴＬＡＢ是研究和分析控制系统的一个有效手段。     

信息熵模糊物元分析的研究

在模糊物元分析基础上，结合信息、优化等概念，对顶板岩石欲用最佳相似材料替代，以确定顶板的稳定性，提出了一种新的方法，称其为信息熵模糊物元分析。所得结果与其他方法相符，并与实际吻合。而最终选择的相似材料，从多方面反映岩石特性，得到了实例的证实。