导弹结构热防护一体化设计与优化

针对导弹面临的严酷气动热力环境,基于传统波纹夹芯结构,为导弹设计了一种兼具承载和热防护功能的一体化结构。建立热-结构耦合计算模型,对一体化结构进行结构承载与热防护性能分析,结果表明:一体化结构在高温下具有较好的承载能力;增加一体化结构隔热层与内壁厚度有助于提高导弹的热防护效率。以一体化结构热防护效率最高和质量最小为目标,采用第二代非支配排序遗传算法实现了多目标优化,并认识到:一体化结构热防护效率与质量相互影响,设计时需要需综合考虑。     

滑翔飞行器多目标弹道优化的进化-配点混合求解策略

针对高超声速滑翔飞行器弹道多目标优化问题,综合考虑计算效率和精度,结合分解进化算法与配点法提出一种混合求解策略。根据滑翔飞行器动力学模型和弹道设计中需要考虑的约束条件,建立飞行器多目标弹道优化模型。利用控制量离散化方法将多目标弹道优化问题转化为带约束的多目标参数优化问题,并采用罚函数法处理约束条件,随后利用分解多目标进化算法进行求解。为了提高弹道优化的精度,将椭球聚合法与配点法相结合,以多目标进化算法得到的Pareto解作为初始解进行迭代求解。通过典型的复杂约束多目标弹道优化的算例表明,所提出的混合求解策略能够获得满足复杂约束要求的Pareto最优解集,实现有效的多目标弹道优化。     

采用改进遗传算法的舰载机保障调度方法

舰载机保障作业过程受到多种资源约束,同时可能存在突发事件的干扰。针对此特点,分析并制定干扰情况下的模型修正策略。在遗传算法中引入禁忌搜索算子改进传统遗传算法的变异操作,并通过具体实例进行仿真验证,其结果证明改进后的遗传算法在优化含干扰事件的多机保障问题时效率更高,并通过甘特图直观地反映重调度方案,为真实情况下有效处理舰载机保障过程中的干扰事件奠定理论基础。     

Damage of multi-layer spaced metallic target plates impacted by radial layered PELE

Three different kinds of PELE (the penetrator with lateral efficiency) were launched by ballistic artillery to impact the multi-layer spaced metal target plates. The impact velocities of the projectiles were measured by the velocity measuring system. The damage degree and process of each layer of target plate impacted by the three kinds of projectiles were analyzed. The experimental results show that all the three kinds of projectiles have the effect of expanding holes on the multi-layer spaced metal target plates. For the normal structure PELE(without layered) with tungsten alloy jacket and the radial layered PELE with tungsten alloy jacket, the diameters of holes on the second layer of plates are 3.36 times and 3.76 times of the diameter of the projectile, respectively. For radial layered PELE with W/Zr-based amorphous composite jacket, due to the large number of tungsten wires dispersed after the impact, the diameter of the holes on the four-layer spaced plates can reach 2.4 times, 3.04 times, 5.36 times and 2.68 times of the diameter of the projectile. Besides, the normal structure PELE with tungsten alloy jacket and the radial layered PELE whit tungsten alloy jacket formed a large number of fragments impact marks on the third target plate. Although the number of fragments penetrating the third target plate is not as large as that of the normal structure PELE, the area of dispersion of fragments impact craters on the third target plate is larger by the radial layered PELE. The radial layered PELE with W/Zr-based amorphous composite jacket released a lot of heat energy due to the impact of the matrix material, and formed a large area of ablation marks on the last three target plates.     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

基于改进协同遗传算法的有效载荷系统功能序列规划方法

针对传统回溯算法在求解基于知识模型的有效载荷系统功能序列规划问题中搜索效率低的问题,提出一种基于"择劣变异"(Worst Individual Mutation,WIM)策略的协同遗传算法(Co-evolutionary Genetic Algorithm,CGA)的改进算法WIM-CGA。该算法在遗传过程中采用双路线进化方案,即"择优实施标准遗传过程,择劣实施变异操作",达到提高求解精确度及搜索效率的目的。仿真结果表明,同等测试条件下,当功能规模为50,约束密度为1.0时,WIM-CGA算法在限定时间内最优解的平均精确度比优化的回溯算法提高了54.15%,比CGA算法提高了6.18%,且当所得解的精确度大于90%时,WIM-CGA算法比CGA算法的迭代次数减少了65.79%,耗时降低了48.97%,显著提高了功能序列规划的效率。     

数据与知识双驱动的备件需求模糊预测模型

针对知识驱动型需求预测模型所需的专家知识稀缺、数据驱动型需求预测模型可解释性不足的问题,提出了数据与知识双驱动的备件需求模糊预测模型。该模型基于模糊聚类算法将数值型数据聚类为结构简单、可解释性强的规则库,运用模糊逻辑将领域专家知识表示为Mamdani型规则库。在此基础上,引入了一种新型智能计算理论——模糊网络理论对两类规则库进行合并运算,形成初始预测模型。采用遗传算法优化模型规则库的模糊集参数来提高模型预测准确性。通过与模糊聚类算法进行对比,提出的模型在可解释性以及准确性指标上均具有优势。     

一种新型SEU/SET加固鉴频鉴相器设计

分析验证了传统D触发器型PFD结构的SEE敏感性,提出了一种新型的SEU/SET加固鉴频鉴相器,SPICE模拟结果表明该结构功能正确,对于1GHz的时钟信号,鉴频鉴相的精度可达0.8rad.锁相环的整体模拟结果表明,抗辐照的PFD与传统的PFD相比,锁相环的电学性能没有改变,锁定时间保持一致.对传统D触发器型PFD和设计加固的PFD进行了遍历轰击模拟,结果显示,提出的抗辐照PFD加固效果非常明显,敏感节点的数目可以降低80%左右.     

YHFT-DX高性能DSP中Cache失效流水设计

YHFT-DX是国防科技大学自主研制的一款高性能DSP.以提升YHFI-DX的 Cache 性能为目标,研究了降低 Cache 失效延迟的优化策略,设计并实现了一种针对高频高性能DSP的一级数据Cache优化策略--失效流水.与传统优化策略相比,该策略将连续访问Cache的失效请求并进行流水化处理,使多个Cache失效延迟重叠,从而达到降低平均Cache失效代价的目的.将该策略应用到YHFT-DX芯片的一级数据Cache控制器的设计与优化中,使访问Cache失效引起的流水线停顿从8拍降为2拍,显著提升了系统性能.     

室温工作的单电子晶体管研究

由于具有低功耗、高速度、高集成度等优点,单电子晶体管成为最有前景的纳米电子功能器件之一.但是,由于结构上的特殊性,单电子晶体管只能在低温下正常工作,该特性限制了其实用化进程.因此,研究可在室温下工作的单电子晶体管具有重要意义.在分析单电子晶体管工作机理的基础上,计算了单电子晶体管室温工作的基本条件,并实验制备出了样片.测试结果表明,所制备的单电子晶体管可在室温下表现出库仑振荡等基本特性.该研究成果将为单电子晶体管的集成实用化打下良好的基础.