某型运输机飞控计算机动态故障树分析

针对现代运输机飞行控制系统具有结构相对复杂,大量使用数字技术,可靠性要求高和具有容错功能等特点,本文以某型运输机为例,建立飞行控制系统主计算机动态故障树模型,并应用动态故障树分析方法进行动态故障树分析。     

多渐消因子Kalman滤波器在SINS初始对准中的应用(英文)

针对系统模型和统计信息不能精确已知的条件下Kalman滤波无法给出最优解这一问题,单一渐消因子Kalman滤波算法对于简单的系统是有效的,但是对于复杂的多变量系统,仅仅利用单个的渐消因子是不够的。本文提出了一种多渐消因子滤波算法,通过利用开窗法计算新息序列协方差的无偏估计获得渐消因子矩阵。利用渐消因子矩阵调节一步预测均方误差矩阵k|k1P,对不同的滤波通道提供不同的渐消速率。将该方法应用于SINS的初始对准中,仿真和试验结果表明:当真实系统噪声统计特性同设定参数不一致时,对准精度明显高于其他滤波算法。其对不确定性噪声具有较低的敏感度,对系统参数具有较好的滤波效果。因而,在实际应用中具有重要的参考价值。     

不确定多变量线性系统的快速收敛Terminal滑模控制

针对一类不确定多变量线性系统,提出一种对数型快速Terminal滑模变结构控制方案,设计了对数型非线性Terminal滑模超曲面及其相应的变结构控制律.研究结果表明:系统状态在有限时间内收敛至Teminal 滑模面上,随后系统保持在滑模面上并在有限时间内收敛到平衡点.与普通快速Terminal滑模相比,在滑模面上能以更...     

热和振动复合环境中人体热调节的数值模拟

本文针对热和振动复合环境对人体的影响特点，建立了该复合环境中二维人体热调节系统的数学模型．采用数值方法对人体热调节系统数学模型进行求解，计算了不同热和振动复合环境条件下人体温度分布及动态响应，计算结果与实验结果相符较好，相对误差小于５％．     

一个拼音汉字自动转换系统的设计与实现

给出了拼音汉字转换的定义，并建立了一个带调拼音词句到汉字语句的自动转换系统。它由五个部分组成，自动分词模块，词法分析模块，句法和语义分析模块，语义修饰模块和显示模块。其中句法分析是系统的核心，在比较各种方法的基础上选择了扩充转移网络模型，使ＡＴＮ的优点和音字转换的特点得到较好的结合，测试结果表明，系统的正确转换率达到９７％。     

NONLINEAR DYNAMIC INVERSION CONTROL WITH ADAPTIVE COMPENSATION FOR FLIGHT CONTROL SYSTEM

ＮＯＮＬＩＮＥＡＲＤＹＮＡＭＩＣＩＮＶＥＲＳＩＯＮＣＯＮＴＲＯＬＷＩＴＨＡＤＡＰＴＩＶＥＣＯＭＰＥＮＳＡＴＩＯＮＦＯＲＦＬＩＧＨＴＣＯＮＴＲＯＬＳＹＳＴＥＭＸｕＪｕｎ，ＺｈａｎｇＭｉｎｇｌｉａｎ，ＬｉＹｏｕｌｉａｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏ...     

黑龙江国防军工计量管理信息系统的开发和应用

介绍了黑龙江国防军工计量管理信息系统的设计及其应用。     

NH3—NaSCH吸收式制冷系统性能分析

工作温度直接影响吸收式制冷系统的性能，而工作温度的选择受Ｇｉｂｂｓ相律和工质热力性质的限制。本文研究了ＮＨ３－ＮａＳＣＮ吸收式制冷系统的可能温度组合；有无回热器两种情况系统的热力参数和性能，如：吸收器和发生器中溶液浓度、循环倍率以及有无回热器时系统基于焓的性能系数等；分析了工作温度对系统性能的影响。结果表明，在无回热器时工作温度对系统性能的影响是不一致的。     

Consensus based on learning game theory with a UAV rendezvous application

Multi-agent cooperation problems are becoming more and more attractive in both civilian and military applications. In multi-agent cooperation problems, different network topologies will decide different manners of cooperation between agents. A centralized system will directly control the operation of each agent with information flow from a single centre, while in a distributed system, agents operate separately under certain communication protocols. In this paper, a systematic distributed optimization approach will be established based on a learning game algorithm.The convergence of the algorithm will be proven under the game theory framework. Two typical consensus problems will be analyzed with the proposed algorithm. The contributions of this work are threefold. First, the designed algorithm inherits the properties in learning game theory for problem simplification and proof of convergence. Second, the behaviour of learning endows the algorithm with robustness and autonomy. Third, with the proposed algorithm, the consensus problems will be analyzed from a novel perspective.     

Design of Embryo-electronic Systems Capable of Self-diagnosing and Self-healing and Configuration Control

As aerospace vehicles travel in a hellish environment, the reliability of the measuring and controlling systems has played a critical role in the credibility of a whole airborne system. Embryo-electronic system is a bionic hardware capable of self-diag- nosing and self-healing. This article presents a new approach to design embryo-electronic systems and introduces their bionic principles, system structures and fault-tolerant mechanism. As the current methods cannot meet the requirements for large-scale embryo-electronic systems, this article advances a new shift-register-based configuration memory of embryonic system to solve the problem by using the inter-cell communication to reduce the gene storage capacity of a single cell. The article designs an overall structure of the shift-register-based configuration memories of the embryonic system and connects them into a chain structure. The article also designs an inner circuit of the cell, the control of shift-register-based configuration memory and the way of runtime dynamic configuration. The simulation of field programmable gate array (FPGA) evidences the realizability of the proposed design. Compared to the SRAM-based one, this memory can save 90% of the area when constructing embryonic systems larger than 128 × 128 under the same condition.