基于Markov链的FSM容软错误设计

随着深亚微米工艺的广泛应用,持续攀升的软错误率对宇航设备的电路可靠性造成了极大影响。针对现有冗余防护技术面积开销大的不足,将概率统计的思想运用到有限状态机（FSM）的软容错设计上,提出了选择部分状态冗余的容错方法。在Markov链模型的基础上,计算出各状态概率,从而为状态冗余提供依据。与未经选择状态冗余的电路相比,以平均增加14.9%的面积开销为代价,这种电路可屏蔽87.6%的时序逻辑单翻转（SEU）。
     

多源图像融合技术的发展与军事应用研究

多源图像融合能根据各波段传感器获得信息的互补性和冗余性,综合多个传感器的信息,获取对同一目标或场景全面而详尽的表述,从而得出更为准确、可靠的结论.首先分析了多源图像融合的主要研究内容,进而探讨了发展现状和存在的问题,在此基础上,总结了图像融合中常用的传感器和应用方向.     

次流通道对双喉道气动矢量喷管的性能影响研究

为了进一步了解次流通道对双喉道气动矢量喷管(Dual Throat Nozzle,DTN)气动矢量性能的影响,基于二维DTN喷管构型进行了详细的数值模拟研究。结果表明:收扩的次流通道相对于平直的次流通道不会改善DTN喷管的推力矢量性能;随着次流流量增加,DTN的推力矢量角存在一个最大值,超过该值各推力矢量性能均会降低;次流通道宽度对DTN喷管推力矢量性能影响显著:(1)次流宽度不影响所能达到的最大推力矢量角;(2)小的次流宽度在进口总压较高的条件下具有更高的推力矢量角;(3)增大次流宽度能降低次流总压,但达到的矢量角会有所减小。     

余度飞行控制计算机的组成架构分析

从余度技术的概念与设计思想入手,介绍了二余度与三余度的飞控计算机组成架构。设计了三余度飞控计算机的硬件体系,并对其组成部分如CPU的选型、总线的确定进行了论述。余度飞控计算机具有很强的容错能力,使得在飞机发生故障时,余度飞控计算机能够快速准确地检测并隔离故障,采取重构策略,确保飞机能够继续执行任务或安全返航。     

角速率平台伺服机构的智能控制与容错研究

介绍了角速率平台伺服机构智能控制研制进展。用单片机控制,对角速率反馈通道实现了2次故障判别、1次系统重构。用Fuzzy控制建立了相应隶属函数,确定了故障判别阈值。实验表明系统工作稳定,故障的Fuzzy差别合理,故障通道切换平稳,重构后系统工作仍正常。     

地月空间星地双向单程测量高精度模型

针对使用星地双向单程测量技术实现给定场景下的地月空间高精度测量问题,建立了地月空间纳秒级星地时差解算模型与米级瞬时距离解算模型,定量分析了模型中各因素的量级,并对模型中收发时延、引力时延、定轨误差和大气延迟等多种因素引入的时差和距离估算误差进行了定量分析。仿真数据的处理结果校验了误差量级理论分析的准确性,时差估算的均方根误差优于7.6ns,瞬时距离估算均方根误差优于2.4 m。建立的模型可以对地月空间星地DOWR测量数据进行高精度处理,实现地月空间高精度时间比对,支持未来中国载人登月等任务及地月空间高精度导航技术。     

Theoretical modeling of vectoring dual synthetic jet based on regression analysis

The excellent vectoring characteristic of Dual Synthetic Jet (DSJ) provides a new control strategy for the active flow control, such as thrust vectoring control, large area cooling, separated flow control and so on. For incompressible flow, the influence relation of source variables, such as structure parameters of actuators, driving parameters and material attributes of piezoelectric vibrating diaphragm, on the vectoring DSJ and a theoretical model are established based on theoretical and regression analysis, which are all verified by numerical simulations. The two synthetic jets can be deemed as a main flow with a higher jet velocity and a disturbing flow with a lower jet velocity. The results indicate that the influence factors contain the low-pressure area formed at the exit of the disturbing flow, which could promote the vectoring deflection, and the impact effect of the disturbing flow and the suppressive effect of the main flow with the effect of restraining the vectoring deflection. The vectoring angle is a complex parameter coupled by all source variables. The detailed theoretical model, whose error is controlled within 3.6 degrees, can be used to quantitatively assess the vectoring feature of DSJ and thus to provide a guidance for designing the control law applied in the active flow control.     

冗余CAN总线在机电管理系统中的应用研究

CAN总线作为现场总线的一种,已在多个军用和民用领域得到了广泛的应用和推广。针对机电管理系统的实时数据采集、实时控制及综合化的设计需求,设计和实现基于冗余CAN总线的分布式机电管理系统的系统构型,重点阐述了系统的容错管理、机电CAN总线的容错及总线调度策略。     

基于可靠性分析的最优冗余配置数量确定方法

针对基于传感器级冗余的捷联惯性导航系统中陀螺仪的冗余配置问题,设计了一种确定最优冗余配置陀螺仪数量的方法,综合考虑了系统的可靠性和成本代价.在各陀螺仪故障的发生为相互独立的前提下,以可靠性函数为工具,提出了确定最优冗余配置数量的性能指标.以该性能指标为依据,分析了斜置冗余配置的陀螺仪数量改变时该指标值的变化情况.结果表明:确定最优冗余配置数量的性能指标的值最大时,所对应的最优斜置冗余配置陀螺仪数量为6.     

Fast Online Approximation for Hard Support Vector Regression and Its Application to Analytical Redundancy for Aeroengines

The hard support vector regression attracts little attention owing to the overfitting phenomenon. Recently, a fast offline method has been proposed to approximately train the hard support vector regression with the generation performance comparable to the soft support vector regression. Based on this achievement, this article advances a fast online approximation called the hard support vector regression (FOAHSVR for short). By adopting the greedy stagewise and iterative strategies, it is capable of online estimating parameters of complicated systems. In order to verify the effectiveness of the FOAHSVR, an FOAHSVR-based analytical redundancy for aeroengines is developed. Experiments on the sensor failure and drift evidence the viability and feasibility of the analytical redundancy for aeroengines together with its base-FOAHSVR. In addition, the FOAHSVR is anticipated to find applications in other scientific-technical fields.