AP／HMX HTPB推进剂的能量特性

介绍了ＡＰ／ＨＭＸ ＨＴＰＢ推进剂能量特性。理论计算表明，ＨＭＸ取代部分ＡＰ可增加比冲，降低火焰温度和燃气中ＨＣＬ含量，ＨＭＸ代替２０％ＡＰ，比冲增加２５．４６Ｎ．ｓ．ｋｇ＾－１。用ＢＳＦΩ     

提高微波辐射计灵敏度研究的综述

介绍影响微波辐射计灵敏度的两个主要因素 :系统增益和本机噪声。围绕这两个影响因素 ,介绍提高辐射测量灵敏度所采取的两种方法 :电的或人工的方法以及软件处理的方法。最后讨论微波辐射计灵敏度研究中存在的问题 ,并指出其今后的发展方向     

ADINA软件在固体发动机设计中的应用

简要介绍了大型结构分析软件ADINA的主要功能、特点、求解过程,以及应用它对某型号发动机药柱进行的轴对称有限元分析.结果表明,ADINA软件应用于固体火箭发动机结构分析是可行的.     

节拍合同网协议及其在作业车间AGV调度的应用

Agent技术为制造系统建模提供有了一种有效的方法，并在制造作业车间调度中得到广泛应用。Agent在基于合同网协议的作业车间AGV调度中，存在协商频繁和投标并发操作问题。为了提高合同网协议的工作效率，本文将协议进行简化，提出了一种基于节拍的改进合同网协议。该协议通过节拍有序地处理投标，并利用阈值策略，对竞标报价做出限定。最后，通过基于多Agent的作业车间AGV调度仿真实例验证了基于节拍的改进合同网协议的效果。     

航空电子系统综合核心处理器仿真软件设计

在未来的航空电子体系结构中，综合核心处理器（Integrated Core Processor，ICP）将成为整个航空电子系统的核心。本文首先对ICP进行了理论分析，提出了ICP建模的重点，然后采用面向对象、模块化的方法进行了ICP仿真软件的设计，建立了ICP仿真系统模型。软件的仿真核心基于离散事件仿真方法，采用双层任务调度算法，并结合航空电子系统分区管理的特点，模拟ICP系统对任务的处理过程。最后进行了实例仿真，对仿真结果进行分析，验证了模型的正确性。     

飞控系统故障检测的参数模糊自适应调节

提出通过模型参数的模糊比例积分自适应调节，以校正基于模型的飞控系统故障检测中的系统数学模型偏差。针对模型中误差差较大的迎角导数值，将俯仰角加速度的测量值与教学模型估计值之差作为比例积分调节的反馈量，动态实时校正数学模型参数。     

基于VxWorks的空调系统控制软件设计

基于Vx Works软件环境,针对空调系统工作模式多、工作模式之间逻辑复杂等特点开发了空调系统的控制软件。将系统的功能按照任务优先权行划分,并采用状态转换机实现的模式间的转换。通过Tornado软件调试环境,对软件设计进行了修改和完善,保证了空调系统软件的正确性。     

基于博弈的多目标弹药调度策略优化研究

针对作战部队弹药调度策略问题,综合考虑不同作战部队对弹药调度时间因素和安全因素需求程度的差异,通过博弈模型对多目标问题进行度量,进而结合遗传算法对弹药调度策略进行优化。仿真结果表明,本文构建的博弈模型能够更加合理地为不同环境下具有差异化需求的弹药调度策略进行优化。     

An aggregate flow based scheduler in multi-task cooperated UAVs network

Unmanned Aerial Vehicles (UAVs) cooperative multi-task system has become the research focus in recent years. However, the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling, because they are not able to perceive the different features. In this paper, a novel cooperated UAVs network framework for multi-task scheduling is proposed. It is a three-layer network including a core layer, an aggregation layer and an execution layer, which enhances the efficiency of multi-task distribution, aggregation and transmission. Furthermore, an AggreGate Flow (AGFlow) based scheduler is dedicatedly designed to maximize the task completion rate, whose key point is to aggregate flows belonging to one task during the multi-task transmission of UAVs network and to allocate priority by calculating the urgency-level of each AGFlow. Simulation results demonstrate that, compared with that of state-of-the-art scheduler, the average task completion rate of AGFlow based scheduler is raised by 0.278.     

Spacecraft formation-containment flying control with time-varying translational velocity

This paper investigates the problem of Spacecraft Formation-Containment Flying Control (SFCFC) when the desired translational velocity is time-varying. In SFCFC problem, there are multiple leader spacecraft and multiple follower spacecraft and SFCFC can be divided into leader spacecraft’s formation control and follower spacecraft’s containment control. First, under the condition that only a part of leader spacecraft can have access to the desired time-varying translational velocity, a velocity estimator is designed for each leader spacecraft. Secondly, based on the estimated translational velocity, a distributed formation control algorithm is designed for leader spacecraft to achieve the desired formation and move with the desired translational velocity simultaneously. Then, to ensure all follower spacecraft converge to the convex hull formed by the leader spacecraft, a distributed containment control algorithm is designed for follower spacecraft. Moreover, to reduce the dependence of the designed control algorithms on the graph information and increase system robustness, the control gains are changing adaptively and the parametric uncertainties are handled, respectively. Finally, simulation results are provided to illustrate the effectiveness of the theoretical results.