用于粒子分离器的砂粒反弹特性实验研究

针对砂粒反弹特性所面临的基础问题及其复杂特点,采用实验与理论分析的方法研究砂粒反弹机理。以砂粒与板面碰撞反弹为起点,自行设计了测量砂粒反弹系数的实验系统,并用高速摄影仪捕捉砂粒的运动轨迹,通过图像处理获得不同粒径的砂粒与不同材料的板面碰撞前后的速度矢量。以实验测量数据为基础,理论分析砂粒运动特性,总结砂粒反弹系数与入射角度之间的关系,建立不同材料的砂粒反弹系数的拟合公式,为进一步提高粒子分离器的分离效率提供研究基础与理论支撑。     

无人机参数优化自抗扰编队保持控制器设计

针对无人机编队飞行中的队形保持问题,采用结合粒子群算法的自抗扰控制技术对控制器进行设计,使响应过程具有良好的动态品质和较小的稳态误差。建立三维空间内基于相对误差的无人机编队飞行模型,并在此基础上设计了跟踪微分器、扩展状态观测器和非线性状态反馈自抗扰控制器,采用粒子群算法对控制器中部分参数进行优化整定。仿真结果表明,设计的结合粒子群算法的改进自抗扰控制器具有良好的控制性能,能以较高的精度实现无人机编队保持任务。     

Location layout design of aircraft parts assembly based on MSVR

Location layout of aircraft assembly is an important factor affecting product quality. Most of the existing re-searches use the combination of finite element analysis and intelligent algorithm to optimize the location layout, which are limited by numerical simulation accuracy and the selection and improvement of intelligent algorithms. At present, the analysis and decision-making technology based on field data is gradually applied in aircraft manufacturing. Based on the perception data of intelligent assembly unit of aircraft parts, a regression model of multi-input and multi-output support vector machine with Gauss kernel function as radial basis function is established, and the hyperparameters of the model are optimized by hybrid particle swarm optimization genetic algorithm (PSO-GA). GA-MSVR, PSO-MSVR and PSOGA-MSVR model are constructed respectively, and their results show that PSOGA-MSVR model has the best performance. Finally, the design of the aircraft wing location layout is taken as an example to verify the effectiveness of the method.     

Nb-38Ti-12Al 高温合金的氧化行为

利用已经制备的Nb-38Ti-12Al合金铸锭,将其加工为厚度为0.50 mm的板材,并通过X射线衍射分析(XRD)、金相显微镜(OM)、扫描电镜(SEM)、箱式电阻炉、分析天平等方法研究了合金在1 200℃下发生氧化反应后氧化膜出现的分层现象,通过计算单位面积内合金氧化增重质量,绘制出合金氧化增重曲线,并利用合金内氧化层厚度计算出在1 000℃和1 200℃的内氧化动力学方程,分别为x1.228=34.50t和x1.480=288.73t。     

Energization of charged particle in a time-dependent chaotic magnetic field with an implication of the production of seed particles in solar energetic particle events

We investigate the acceleration of charged particles in a time-dependent chaotic magnetic field in this work. In earlier works, it has been demonstrated that in an asymmetric wire-loop current systems (WLCSs), the magnetic field is of chaotic in nature. Furthermore, observations also showed that there exist time-varying current loops and current filaments in solar corona. It is therefore natural to conceive that the magnetic field on the solar surface is chaotic and time-dependent. Here, we develop a numerical model to study the acceleration process of charged particles in a time-varying chaotic magnetic field that is generated by an ensemble of 8 WLCSs. We found that the motion of energetic particles in the system is of diffusive in nature and a power law spectrum can quickly develop. The mechanism examined here may serve as an efficient pre-acceleration mechanism that generates the so-called seed particles for diffusive shock acceleration at a coronal mass ejection (CME) driven shock in large solar energetic particle (SEP) events.     

基于方位信息的组网雷达跟踪滤波研究

干扰对组网雷达目标跟踪系统模型的影响,决定了系统需要用非线性滤波技术进行纯方位跟踪.粒子滤波避免了传统非线性滤波方法的缺陷,但是存在粒子退化,于是用EKF和UKF在每一时刻更新粒子,用更新的粒子及其协方差构造重要性函数,然后重采样.仿真实验表明了这两种改进粒子滤波方法的有效性.     

基于改进量子粒子群算法的雷达布站优化研究

以双基地雷达"四抗"能力分析为基础,提出了双/多基地雷达布站优化的原则并对这些原则进行了量化,建立了双/多基地雷达布站优化的数学模型.随后,对量子粒子群算法进行了改进,提出了自适应量子粒子群算法,并将其用于双/多基地雷达布站优化数学模型的求解,解决了双/多基地雷达雷达站的部署问题.最后,通过MATLAB对优化后的雷达站...     

基于"天基红外系统"对弹道导弹主动段估计滤波算法研究

美国的"天基红外系统"(SBIRS)包括高轨和低轨两类预警星座,前者主要用于弹道导弹主动段探测,后者主要用于被动段的跟踪测量.文章利用其高轨静止星座,对只有角测量条件下的主动段弹道估计滤波算法进行了分析比较.首先给出主动段状态方程和测量方程,然后分别结合扩展卡尔曼滤波、无迹卡尔曼滤波和粒子滤波这三类典型非线性滤波估计算...     

试验研究旋流数对燃烧室气动性能的影响

为了深入了解双级轴向旋流器的旋流数变化对模型环形燃烧室内气流结构与气动性能的影响,采用粒子图像速度仪(PIV)对燃烧室内冷态和液雾燃烧流场进行测量,试验研究在冷、热态情况下不同旋流数对模型燃烧室内回流区的尺寸、平均速度(u,v)、脉动速度(U<,rms>,V<,rms>)以及雷诺剪切应力u'v'分布的影响.研究结果表明...     

Maneuvering Target Tracking in Dense Clutter Based on Particle Filtering

An improved particle filtering(IPF) is presented to perform maneuvering target tracking in dense clutter.The proposed filter uses several efficient variance reduction methods to combat particle degeneracy,low mode prior probabilities and measure-ment-origin uncertainty.Within the framework of a hybrid state estimation,each particle samples a discrete mode from its poste-rior distribution and the continuous state variables are approximated by a multivariate Gaussian mixture that is updated by an unscented Ka...