飞行计划管理中航迹关联算法

针对传统飞行计划管理中的缺限,基于MK-NN航迹关联算法思想,提出了一种利用方向因子、速度因子、偏航因子、时差因子和区域因子对综合航迹和计划航迹进行比较关联的方法.通过仿真,分析比较了该算法与其它算法的综合性能,验证了MK-NN算法在计划管理中的科学性和可行性.用改进的MK-NN算法为基本算法实现对飞行计划实施的动态监控,能够提高飞行计划管理的准确性和可靠性.     

利用动态综合作战能力指数筹划海战兵力需求

针对目前海军作战兵力需求问题,建立了海军作战的物理模型,并提出了用动态综合作战能力指数筹划海战兵力需求的数学模型和算法,采用战例统计法和专家打分法计算出战斗力系数.并且以航空兵空中争夺为例进行了因素分析、参数选取、效能计算并得出了明确结论.计算结果表明,采用动态综合作战能力指数作为海战兵力需求指标是可行的;信息作战能力在现代海战中具有极其重要的作用.     

动态贝叶斯网络的无人机炮火校射

动态贝叶斯网络(Dynamic Bayesian Networks-DBNs),是对具有随机过程性质的不确定性问题进行建模和处理的一个有力工具.提出将隐马尔可夫模型(Hidden Markov Models-HMMs)图形模式与贝叶斯网络结合起来构成DBN,将其用于无人机照相侦察情报的推理分析,决定炮火优先打击区域.首先建立动态贝叶斯网络的战场态势变化模型,而后应用HMM的推理算法获得当前隐含序列最优估计,且可预测出未来战场态势.最后应用模糊推理获得优先打击的区域号.仿真结果表明了模型的可行性.该方法有效解决了贝叶斯网络对于瞬间变化战场态势推理的不足的缺陷,为炮兵指挥员更好地运用火力,分出主次奠定了基础.     

动态武器目标分配问题的马尔可夫性

动态武器目标分配(weapon target assignment,WTA)问题是军事运筹学研究的重要理论问题,也是作战指挥决策中迫切需要解决的现实问题。在对动态WTA问题进行描述分析的基础上,运用随机过程理论证明了动态WTA过程的马尔可夫性;给出了该马尔可夫决策过程的状态转移概率的解析表达式,并对其状态特点进行了简要分析。研究结果可以为动态WTA及相关问题的研究提供理论和方法依据。     

旋转永磁式机械天线的研究与实现

为实现低频电磁发信系统的小型化和低功耗,对基于旋转永磁体的机械天线,即利用永磁体机械旋转直接激励电磁波的新型低频电磁发信技术进行了理论研究与工程实践。提出基于钕铁硼永磁体和永磁同步电机的旋转永磁式机械天线技术方案及其信息加载方法,构建基于电-机械-电磁能量转换的系统模型,对其辐射效率和辐射功率进行初步分析,研究旋转永磁体在不同无限均匀介质中产生时变磁场的分布与衰减特性,研制了原理样机,并对其近区磁场和2FSK信号的加载特性进行了实验测试,验证了该方案的可行性和有效性。     

酚醛-石英混杂纤维增强苯并噁嗪复合材料高温失效特征

通过模压工艺制备了酚醛-石英混织纤维增强苯并噁嗪复合材料(P-Q/BZ)试样,考察了其力学性能、烧蚀性能和耐冲刷性能,分析了该试样在高温环境中的主要失效特征,研究其在高温环境中的适用性。结果表明,未经热处理的P-Q/BZ试样平均弯曲强度、弯曲模量和层间剪切强度分别为283 MPa、10.8 GPa和22.6 MPa;经300℃,N_2处理15 min后,试样均匀膨胀,厚度增加22%,弯曲强度、弯曲模量和层间剪切强度分别下降58%、41%和58%;在氧乙炔焰的平均质量烧蚀率和线烧蚀率分别为0.048 4 g/s和-0.081 mm/s,烧蚀后试样宏观不分层,表面炭层微观分层严重,酚醛纤维热解炭、树脂基体热解炭、熔融石英纤维以及碳硅氧化产物相互分离;该试样耐冲刷能力差,在发动机尾焰烧蚀平台模拟的热-力耦合环境中的质量损失率高达59%。P-Q/BZ复合材料需要解决热解膨胀问题,进一步提高抗冲刷性能。     

Multifunctional A356 alloy/ PKSAnp composites: Microstructure and mechanical properties

Mechanical properties and microstructure of multifunctional composites produced with palm kernel shell ash nanoparticle (PKSAnp)-A356 alloy composites was studied. The composites were produced using Double layer feeding stir casting method (DLF-SCM) by adding 1 wt%‒4 wt.% PKSAnp. The microstructure, density, electrical and mechanical properties were determined. The results shows that there was a uniform distribution of the PKSAnp in A356 alloy. The mismatch at the interface between the PKSAnp and A356 alloy was 4.26%. Improvement of 30.47%, 41.91%, 49.52%, 40.90% and 65.09% were obtained for hardness values, tensile, yield strength, %elongation and impact energy at 4 wt% PKASnp. The work has established that the developed composites can be used for multifunctional applications where combination of toughness and strength is vital.     

Novel approach for active vibration control of a flexible missile

This paper investigates the feasibility of using an active dynamic vibration absorber (ADVA) for active vibration control of a flexible missile system through simulation. Based on the principles of a dynamic vibration absorber (DVA), a ring-type ADVA is first designed to attenuate the elastic vibration of the flexible missile, and the design of the active controller adopts the proportional-integral-derivative (PID) control algorithm. The motion equations of a flexible missile with an ADVA, which is subjected to follower thrust at its aft end, are derived using the Lagrangian approach. Taking the minimum of the root mean square (RMS) of the lateral displacement response of the center of mass as the objective function, a genetic algorithm (GA) is used to optimize the parameter of the DVA and PID controller. The numerical calculations show that the ADVA and DVA are effective in suppressing the vibration and provide approximately 41.2% and 17.6% improvement, respectively, compared with the case of no DVA. The ADVA has better performance than the DVA. When the missile is subjected to follower thrust, the effect of vibration reduction is more effective than the case without follower thrust. It is feasible to reduce vibration and improve the stability of flexible missiles by means of the ADVA.     

Physical and damping properties of kenaf fibre filled natural rubber/thermoplastic polyurethane composites

The paper presents the investigation of the effect of alkaline treatment of sodium hydroxide (NaOH) on physical and dynamic mechanical analysis (DMA) viscoelastic properties of kenaf fibre filled natural rubber (NR)/thermoplastic polyurethane (TPU) composites. The treated kenaf fiber, NR and TPU were weighed and proportioned according to the required compositions and were blended using hot mixed Brabender machine. The polymer composites were then fabricated using the hot press to form a sample board. The sample was cut and prepared and water absorption, density, thickness swelling and DMA tests were performed. As far as physical properties are concerned, composites with the highest NR amount of shows the best results, which indicates good fiber bonding adhesion. The polymer composites with the highest amount of TPU shows the highest damping properties at high temperature.     

深度神经网络指导下的无线覆盖预测算法

为保证新一代移动无线网络能够根据实时覆盖情况动态地调节小区天线参数,需要实现高效且准确的无线覆盖预测。传统的求解方法通过精确的场强预测判断天线参数的优劣,虽然精度很高但需要大量的计算资源,无法满足5G和后5G移动网络通过实时覆盖预测进行射频参数动态调整的实际需求。现采用基于深度神经网络的算法对给定天线参数的覆盖效果进行预测,以取代对目标区域的精确场强预测。数值结果表明:该方法能够在保持计算准确性的同时显著减少计算量,为5G动态网络规划提供基础性参考数据。