Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.     

基于改进粒子群优化模糊控制的MPPT算法研究

在光照强度和温度变化时,常规的最大功率点跟踪(MPPT)算法难以快速准确地跟踪光伏系统最大功率点。针对此问题,设计了一种改进粒子群优化算法(PSO)的模糊控制器。首先,依据常规MPPT特性,设计了一种带调整因子的模糊控制算法以快速收敛到最大功率点；然后,采用参数自适应PSO对设计的模糊控制器调整因子进行动态优化。仿真结果表明:所设计的参数自适应PSO优化模糊控制器能快速准确地跟踪最大功率点,保证了MPPT的动态响应速度和稳态精度,提高了光伏系统的工作效率。     

一种新的基于ANSYS的机翼挠曲变形建模方法

针对传递对准中机翼挠曲变形建模方法适用性差的问题,提出了一种基于有限元分析的不同挂点处弹载子惯导系统的机翼挠曲变形建模方法。以柔性较大的大展弦比机翼为研究对象,建立了薄蒙皮、双翼梁、多肋板式机翼模型。通过绕流分析得到的机翼上、下表面压力分布云图,在此基础上对机翼结构进行气动载荷的加载。根据ANSYS瞬态动力学分析,获取了机翼挠曲变形角的随机过程序列,并利用AR(n)模型代替ARMA(p,q)模型进行建模。采用一种改良卡尔曼滤波算法对模型参数进行估计,并利用信息准则对模型的适应性进行检验。根据参数辨识的结果,最终得到了机翼的挠曲变形模型。     

捷联式航空重力测量系统的数据处理方法比较与分析

重力数据处理对获取高精度重力异常值有着重要作用，是重力测量的核心技术。重力仪在搭载运动载体进行重力测量时，载体的高频振动对重力测量数据和GPS数据均会产生不可避免的干扰，导致提取的重力异常粗值含有大量高频噪声。围绕重力数据的处理方法这一核心技术，介绍了FIR低通滤波、零相移滤波、标准Kalman滤波、正反Kalman滤波4种滤波方法的基本原理，运用这4种方法处理了SAG捷联式重力仪的某次实际飞行测量数据，比对了基于SINS/GPS组合导航和SINS/DGPS组合导航的重力测量数据处理结果。通过对本次试验重复测线内符合精度进行比对，验证了4种方法的可行性和优劣性，同时验证了SAG重力仪的测量精度。     

Fault self-repair strategy based on evolvable hardware and reparation balance technology

In the face of harsh natural environment applications such as earth-orbiting and deep space satellites, underwater sea vehicles, strong electromagnetic interference and temperature stress,the circuits faults appear easily. Circuit faults will inevitably lead to serious losses of availability or impeded mission success without self-repair over the mission duration. Traditional fault-repair methods based on redundant fault-tolerant technique are straightforward to implement, yet their area, power and weight cost can be excessive. Moreover they utilize all plug-in or component level circuits to realize redundant backup, such that their applicability is limited. Hence, a novel selfrepair technology based on evolvable hardware（EHW） and reparation balance technology（RBT） is proposed. Its cost is low, and fault self-repair of various circuits and devices can be realized through dynamic configuration. Making full use of the fault signals, correcting circuit can be found through EHW technique to realize the balance and compensation of the fault output-signals. In this paper, the self-repair model was analyzed which based on EHW and RBT technique, the specific self-repair strategy was studied, the corresponding self-repair circuit fault system was designed, and the typical faults were simulated and analyzed which combined with the actual electronic devices. Simulation results demonstrated that the proposed fault self-repair strategy was feasible. Compared to traditional techniques, fault self-repair based on EHW consumes fewer hardware resources, and the scope of fault self-repair was expanded significantly.     

基于CDKF的快速协方差交叉融合跟踪算法研究

随着目标抗干扰能力的增强，单一寻的制导方式很难完成对目标的稳定跟踪和精确打击，需采用多种探测器作为传感器，提供多种观测数据以实现对目标的稳定跟踪和精确打击。建立了适当的目标运动模型和观测模型，利用中心差分卡尔曼滤波（CDKF）变换处理模型的非线性问题，避免了求解复杂的雅克比矩阵。对于分布式多传感器融合，传统的方法多采用协方差交叉（CI）融合方法，但是这类方法需要寻优求解。而快速协方差交叉（FCI）则不需要进行寻优过程，且计算量小。在此基础上，提出了用于多传感器目标跟踪的CDKF-FCI融合算法。最后，对算法进行了仿真分析，并进一步验证了提出算法的有效性。     

平台式重力仪航空重力测量数据后处理技术研究

针对航空重力测量对数据后处理的要求,结合平台式重力仪系统的组成与工作原理,在重力异常信号的频域特征基础上,设计出一套有严格频域规范的航空重力数据后处理流程,并对某海域实测数据进行了处理。结果表明,重力异常值内符合精度为12条东西测线达到0.43mGal/140s和0.84mGal/100s,4条南北测线达到0.39mGal/140s和0.79mGal/100s;以同测线GT-2A单次测量结果为标准值统计标准差,12条东西测线为0.72mGal/140s和0.98mGal/100s,4条南北测线为1.41mGal/140s和1.53mGal/100s。结果表明,设计的航空重力测量数据后处理方法可以实现重力异常信号的高精度提取。     

一种新的椭圆球面波信号时频域滤波方法

针对如何在时频域降低干扰噪声对椭圆球面波函数(Prolate Spheroidal Wave Functions,PSWFs)信号时频域分布特性的影响,引入精细滤波,提出了 1种新的椭圆球面波信号时频域滤波方法。仿真结果表明,所提方法在时频域以能量峰值点为基准,构造以距离为依据的滤波算子调节参数,能够有效抑制噪声对 PSWFs信号时频域分布特 性的影响,提高信号局部区域的能量聚集性。     

排队论的局限与排队模拟的数学本质

排队现象是工程技术和社会生活中广泛存在的一种现象。对它进行量的研究将有助于通信、计算机、航天和电子对抗领域一大类问题的解决。排队论［１］为此己做出了重要贡献,但有局限。排队模拟可克服这些局限,提出了排队系统的新定义;对排队论己有成果进行了回顾和分析;指出用Ｌｉｎｄｌｅｙ定理验证非泊松到达的等待时间｛Ｗｎ｝的分布函数之所以十分困难的原因;提出排队论的三点局限;分析了排队模拟的数学本质;指出排队模拟实际上是数列环上的运算。     

深空探测器动态约束规划中的外延约束过滤方法研究

随着深空探测任务的增加以及星上科学任务的日益复杂,深空探测器自主任务规划与调度技术成为研究的热点。在深空探测器任务特点与系统约束分析的基础上,将智能规划理论与约束可满足技术相结合,研究多层约束规划模型中约束的动态特征,设计了基于动态约束表的外延约束快速过滤算法,根据领域信息中活动间的冲突性特征来对新加入的活动进行分类和一致性检查。仿真结果表明:提出的算法能够有效地降低约束处理中无效的约束检查次数,降低问题处理过程中的算法回溯,提高规划效率和成功率。