A reusable planar triggered spark-gap switch batched-fabricated with PCB technology for medium-and low-voltage pulse power systems

Triggered spark-gap switch is a popular discharge switch for pulse power systems. Previous studies have focused on planarizing this switch using thin film techniques in order to meet the requirements of compact size in the systems. Such switches are one-shot due to electrodes being too thin to sufficiently resist spark-erosion. Additionally, these switches did not employ any structures in securing internal gas composition, resulting in inconsistent performance under harsh atmospheres. In this work, a novel planar triggered spark-gap switch (PTS) with a hermetically sealed cavity was batched-prepared with printed circuit board (PCB) technology, to achieve reusability with low cost. The proposed PTS was inspected by micro-computed tomography to ensure PCB techniques meet the requirements of machining precision. The results from electrical experiments demonstrated that PCB PTS were consistent and reusable with lifespan over 20 times. The calculated switch voltage and circuit current were consistent with those derived from real-world measurements. Finally, PCB PTS was used to introduce hexanitrostilbene (HNS) pellets in a pulse power system to verify its performance.     

Research on fuze microswitch based on corona discharge effect

Abnormal voltages such as electrostatic, constant current, and strong electromagnetic signals can erro-neously trigger operation of MEMS pyrotechnics and control systems in a fuze, which may result in casualties. This study designs a solid-state micro-scale switch by combining the corona gas discharge theory of asymmetric electric fields and Peek's Law. The MEMS switch can be transferred from "off" to"on" through the gas breakdown between the corona electrodes. In the model, one of the two electrodes is spherical and the other flat, so a non-uniform electric field is formed around the electrodes. The theoretical work is as follows. First, the relation among the radius of curvature of the spherical electrode, the discharge gap, and the air breakdown voltage is obtained; to meet the low voltage (30-60 V) required to drive the MEMS switch, the radius of curvature of the spherical electrode needs to be 10-50 μm and the discharge gap between the two electrodes needs to be 9-11 μm. Second, the optimal ratio ε is introduced to parameterize the model. Finally, the corona discharge structural parameters are determined by comparing the theoretical and electric field simulation results. The switch is then fabricated via MEMS processing. A hardware test platform is built and the performing chip tested. It is found that when the electrode gap is 9 μm, the electrostatic voltage is at least 37.3 V, with an error of 2.6% between the actual and theoretical air breakdown voltages. When the electrode gap is 11 μm, the electrostatic voltage is at least 42.3 V, with an error of 10.5% between the actual and theoretical air breakdown voltages. Both cases meet the design requirements.     

遗传算法在目标跟踪中的传感器分配算法

传感器在进行目标跟踪时,常规算法主要通过线性规划建立传感器与目标之间的分配方法.但是在对多目标和多传感器的战场环境中,这些方法有一定局限性.研究了基于遗传算法的传感器分配方法,通过构造符合传感器分配这一特殊问题的染色体,从而形成初始种群,然后利用遗传算法模拟生物遗传迭代和自然选择的遗传机理,通过多次选择最终收敛于问题的一个满意解.仿真显示,在大数据运算的环境中,该算法有更高的可行性和有效性.     

改进粒子群算法在导弹火力分配中的应用

粒子群优化算法是一种新兴的优化技术,思想来源于人工生命和演化计算理论.由于该算法简单易实现,可调参数少,目前已得到广泛研究和应用.在建立导弹武器火力分配数学模型的基础上,运用改进粒子群算法对模型进行了最优化求解,实例的计算结果表明该优化算法对于模型的求解具有较好的收敛性.     

防空监视网络传感器资源分配的最优化

针对防空监视网络的传感器管理问题,讨论了传感器资源分配的最优化方法。提出了把传感器资源分配问题映射为多代理系统分布约束最优化问题的解决策略,设计了基于约束代价下界搜索的异步分枝定界最优化算法,实现了传感器资源分配问题最优解的异步并行搜索,给出的仿真实例说明了传感器资源分配最优化方法的有效性。     

开关稳压电源中的功率变压器设计方法

阐述了开关电源功率变压器的特性、参数及公式 ,提出了对变压器和选择磁芯材料的要求 ,最后叙述了变压器的设计步骤及计算公式     

电爆炸切断开关的实验研究

电感储能系统中的关键技术是切断开关技术,本文论述了导体的电爆炸机制,以及作为切断开关爆炸导体参数选取的经验公式,并设计了一种爆炸导体切断开关的装置结构,在实验中取得了较好的结果。通过调节导体参数,可得到脉宽２８０ｎｓ,电压增益达到十几倍的高功率脉冲信号,其结果对我们通过用虚阴极二极管等器件作负载来产生高功率微波有重要的意义。     

多UCAV协同控制中的任务分配模型及算法

任务分配是多UCAV协同控制的核心和有效保证。分析了影响目标价值毁伤、UCAV损耗、任务消耗时间等三项关键战技指标的因素,综合考虑实战中多UCAV同时攻击同一目标和使用软杀伤武器这两种典型情况对UCAV执行任务的影响,建立了针对攻击任务的多UCAV协同任务分配模型,并应用粒子群算法求解。仿真结果验证了模型的合理性和算法的有效性。     

Optimal power control in a wireless network using a model with stochastic link coefficients

This paper addresses optimal power allocation in a wireless communication network under uncertainty. The paper introduces a framework for optimal transmit power allocation in a wireless network where both the useful and interference coefficients are random. The new approach to power control is based on a stochastic programming formulation with probabilistic SIR constraints. This allows to state the power allocation problem as a convex optimization problem assuming normally or log‐normally distributed communication link coefficients. Numerical examples illustrate the performance of the optimal stochastic power allocation. A distributed algorithm for the decentralized solution of the stochastic power allocation problem is discussed. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

控制分配在平流层飞艇姿态控制中的应用

针对平流层飞艇一般采用多控制机构的特点,将广义逆控制分配方法应用到飞艇姿态控制系统中,并根据飞艇控制机构特性采用了加权伪逆控制分配算法。飞艇姿态控制仿真结果表明:设计的控制分配方法可以有效实现多控制机构的协调操纵,对姿态角控制效果良好,避免了单一操纵舵面过早进入饱和状态的情况;合理调整控制分配权值可减少能量损耗,增强实时性,便于工程实现。