A practical nonlinear robust control approach of electro-hydraulic load simulator

This paper studies a nonlinear robust control algorithm of the electro-hydraulic load simulator （EHLS）. The tracking performance of the EHLS is mainly limited by the actuator＇s motion disturbance, flow nonlinearity, and friction, etc. The developed controller is developed based on the nonlinear motion loading model. The problems of the actuator＇s disturbance and flow nonlinearity are considered. To address the friction problem, the friction model of the loading motor is identified experimentally. The friction disturbance is compensated using the obtained friction model. Therefore, this paper considers the main three factors comprehensively. The developed algorithm is easy to apply since the controller can be obtained just with one step back-stepping design. The stability of the developed algorithm is proven via Lyapunov analysis. Both co-simulation and experiments are performed to verify the effectiveness of this method.     

基于DSP的感应同步器测角系统的设计与实现

本文介绍了一种基于DSP的感应同步器测角系统的设计与工程实现,其核心是角位置的数据变换及编码部分.该设计提高了测角系统的性能,特别是大幅度地提高了位置测量的分辨率和精度.     

基于共轭循环平稳特性的二维波达方向估计方法

 提出了一种具有阵列孔径扩展能力的共轭循环平稳二维波达方向（DOA）估计方法。该方法通过引入伪采样,充分利用了阵元输出之间共轭循环互相关函数的时间维信息,扩展了阵列有效孔径,提高了算法DOA估计精度,具有较好的低信噪比适应能力。该方法避免了最优时延选择问题,无需谱峰搜索,且其二维角度参数能够自动配对,具有较低的计算量。计算机仿真结果验证了该方法的有效性。     

利用二次型实时剔除雷达数据中野值的方法

实时剔除雷达测量数据中的野值对于提高目标轨迹精度具有重要意义。文中分析了一种利用残差和误差相关矩阵构造二次型作为判定野值的方法,并给出了这种方法的实现思路和仿真结果,指明了该方法可推广应用的领域。     

7050-T7451铝合金试件的疲劳安全寿命估算

对7050-T7451铝合金试件的三类不同试样激光冲击强化处理,研究其7组疲劳寿命值,并对铝合金试件的疲劳试验结果分别用单侧容限因数法和二维Weibull分布法进行疲劳安全寿命估算及比较.结果表明,激光冲击强化作用大大提高了铝合金试样的疲劳寿命;在考虑置信度和可靠度的前提下,单侧容限因数法能得到一个确切的疲劳安全寿命估...     

基于稀疏表示的多雷达信号二维融合处理

多雷达信号融合通过对多视角和多频带雷达信号进行相干融合,可以提高图像的距离和方位向分辨率.为了克服基于谱估计的多雷达信号融合方法稳健性严重依赖于散射点个数估计精度和二维极点配对精度的问题,在深入研究逆合成孔径雷达(ISAR)信号的基础上,构造了多雷达信号二维融合的线性表示模型,将融合处理转化为一个信号表示问题;充分挖掘...     

Nonlinear modal electromechanical coupling factor for piezoelectric structures containing nonlinearities

Within the linear framework, the Modal Electromechanical Coupling Factor (MEMCF) is an important indicator to quantify the dynamic conversion of mechanical energy and electrical energy of piezoelectric structures. It is also an important tool to guide the piezoelectric damping design of linear structures. Advanced aircraft often fly in maneuvers, and the variable working conditions induce drastic changes in the load level on structures. Geometric and contact nonlinearities of thin-walled structures and joint structures are often activated. To achieve a good vibration reduction effect covering all working conditions, one cannot directly use linear electromechanical coupling theory to instruct the piezoelectric damping design for nonlinear structures. Therefore, this paper defines the Nonlinear Modal Electromechanical Coupling Factor (NMEMCF) and proposes the corresponding numerical method for the first time to quantitatively evaluate the electromechanical coupling capability of nonlinear piezoelectric structures. Three candidate definitions of the NMEMCF are given, including two frequency definitions and one energy definition. The energy definition is the most promising one. It is not only applicable to both conservative and dissipative nonlinear structures but also compatible with the linear MEMCF. In addition, based on the energy formula, the NMEMCF can be obtained by only performing one nonlinear modal analysis in the open-circuit state. The analytical findings and the numerical tool are validated against two piezoelectric structures with different types of nonlinearities. A strong correlation among the NMEMCF, geometric parameters, and energy dissipation is observed. The results confirm that the proposed NMEMCF captures the physics of the electromechanical coupling phenomenon associated with nonlinear piezoelectric structures and can be used as an essential design indicator of piezoelectric damping, especially for variable working conditions.     

基于集成学习模型的飞行学员认知负荷研究

在飞行过程中,飞行员需要在短时间内接收大量信息,并做出正确的判断与决策,而过高的认知负荷会影响其感知、判断、决策等认知过程,进而影响飞行安全。首先通过飞行模拟实验获取飞行学员在执行不同飞行任务时的生理数据;然后通过时域、频域分析等方法提取呼吸和心电信号的特征,并通过统计学方法筛选出能够反映认知负荷水平的指标;最后结合支持向量机、K 最邻近、人工神经网络等方法建立集成学习模型,对飞行学员的认知负荷进行评估,并与单一算法进行对比。结果表明：本文建立的集成学习模型具有较高的准确率,能够更好地反映飞行学员认知负荷水平。     

电离层色散对DS/FH-BPSK信号解调性能影响

相位连续的DS/FH(Direct Sequence/Frequency Hopping,直接序列/跳频)扩频信号的扩频带宽比直扩信号更宽,在电离层的非线性相位以及跳频频点变化这两者的共同作用下,该信号的BPSK(Binary Phase Shift Keying,二相相移键控)解调性能明显恶化。依据随机变量概率分布的数学规律,推导得到了在背景电离层色散条件和跳频频点均匀分布前提下,某种DS/FH卫星测控信号的引导信号和长周期信号BPSK误码率的变化规律,并在特定信号参数条件下进行了误码率仿真。     

基于内流场PSP测量技术的图像后处理

由于在测量模型表面压力方面具有独特的优势,光学压敏测量技术（Pressure-Sensitive Paint Technique,PSP）近年来受到了广泛关注。然而,由于内流场流动的复杂性及狭小的几何空间,内流场的PSP压力测量实验难度非常大,影响了PSP的测量精度与显示效果。基于对光学压敏测量技术测量原理的深刻理解,结合图像对准与三维重构理论,探究并优化相应的图像处理流程,自主发展了PSP图像的三维重构程序。以某平面叶栅叶片PSP实验图像为研究对象,按照提出的优化图像处理流程,提高了叶片表面PSP测压的精度,实现了叶片表面压力场的三维重现,并与静压孔测量结果进行了比对。结果表明：所发展的PSP图像处理方法及流程,是现有测量条件下提高PSP测量精度的有效措施之一,且经过叶片表面压力场的三维重现,便于获取图像上的压力信息。