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。     

基于模糊模式识别的多通道目标选择算法

给出一种多通道用户界面的三维表示模型，证明目标选择是多通道人机交互技术的核心。针对多通道用户界面中输入信息的不精确性，运用模糊模式识别理论，提出根据不精确输入信息进行的目标选择算法。     

参数自整定模糊PI控制在纳卫星热控系统中的应用

在功能维持不变甚至更强的条件下,卫星体积、尺寸和质量不断减小,致使在卫星内部小空间内单位时间传输大量的热,因此常规的热控技术很难满足控制要求.为使纳卫星负载温度稳定在允许范围内,亟需研发新的热控方法.在纳卫星温度系统模型基础上,将PI参数模糊自整定控制器与航天器热控技术相结合,得到纳卫星智能热控系统,以调节辐射器散热面为控制目标,并进行了仿真研究.结果表明,该控制策略响应快,适戍性和鲁棒性强,消除了稳态误差,较模糊控制和传统PI控制具有更好的动、静态特性,适用于纳卫星热控系统.     

基于Fuzzy-AHP的飞机客舱内环境设计评价

在确定飞机客舱内饰设计评价指标的基础上,运用Fuzzy AHP综合评价法,实现了定性指标的定量转换,建立了飞机客舱内饰设计评价分析模型,克服了评价的主观性和随意性,实现了对飞机客舱内饰设计的科学评价,并编制了飞机客舱内饰设计评价系统软件加以论证。     

A new approach to fuzzy dynamic fault tree analysis using the weakest n-dimensional t-norm arithmetic

Dynamic fault tree analysis is widely used for the reliability analysis of the complex system with dynamic failure characteristics. In many circumstances, the exact value of system reliability is difficult to obtain due to absent or insufficient data for failure probabilities or failure rates of components. The traditional fuzzy operation arithmetic based on extension principle or interval theory may lead to fuzzy accumulations. Moreover, the existing fuzzy dynamic fault tree analysis methods are restricted to the case that all system components follow exponential time-to-failure distributions. To overcome these problems, a new fuzzy dynamic fault tree analysis approach based on the weakest n-dimensional t-norm arithmetic and developed sequential binary decision diagrams method is proposed to evaluate system fuzzy reliability. Compared with the existing approach, the proposed method can effectively reduce fuzzy cumulative and be applicable to any time-to-failure distribution type for system components. Finally, a case study is presented to illustrate the application and advantages of the proposed approach.     

航天员的模糊控制模型及应用展望

本文以航天员控制过程中的思维活动(概念、判断、推理和决断)为基础,用模糊集理论建立了航天员的模糊控制模型,并在地面模拟条件下,用航天员控制飞船时的实验结果说明了模型的有效性。本模型可以描述航天员控制载人航天飞行器(如飞船、航天飞机和空间站等)的控制行为。该模型的建立不仅为航天人—机—环境系统的总体分析、评价和设计提供新手段,而且为模糊控制理论的发展和模糊控制系统的分析、设计奠定了基础。     

一种基于模糊机理模型的混事建模方法

本文提出了一种基于模糊机理模型的混合建模方法。采用模糊逻辑系统建立机理模型，RBF神经网络建立系统的补偿模型。这种方法具有建模精度高、物理意义明确以及适应范围大的特点。仿真结果进一步证实了这种方法的有效性。     

C/C复合材料等温CVI工艺T-S模糊系统研究

等温CVI是目前制备高性能碳／碳(C／C)复合材料的重要技术,其主要不足之处是周期长,成本高,建立CVI工艺参数与沉积速率或均匀性之间的关系模型,进而来指导工艺的设计与优化,是达到降低C／C复合材料开发成本的重要途径。本文提出基于模糊推理系统理论,建立等温CVI工艺基于实验的T—S模糊系统模型,来挖掘和表达实验中所积累的无法用公式来描述的经验,根据该模型得到了一类盘状制件CVI工艺主要沉积条件的作用机理,为工艺优化、设计和控制提供了理论上的指导。