Multi-objective optimization of frequency and damping of vertical stabilizer skin structure placed with variable-angle tows

The vibration characteristics of composite vertical stabilizer skin structures play a critical role in damping effects designed for overcoming the air disturbances experienced by aircraft structural components during flight. The first-order fundamental frequencies and their corresponding damping characteristics of the vertical stabilizer skin structure tow-steered by automatic fiber placement technique were optimized with the parameterized trajectories and plies as design variables. Firstly, the vibration and damping numerical models were derived based on Kirchhoff laminate theory, the Rayleigh-Ritz method, and the Strain Energy Method. Then the optimization model was developed by adopting the self-adaptive Differential Evolution Multi-objective optimization algorithm and incorporating the solution method of Pareto Front. The constraints of this optimization model considered the experimentally obtained minimum turning radius of prepregs tow-steered in automatic fiber placement process obtained from experimental tests. Finally, the comparison of numerical simulation results was conducted for the optimized trajectories and the conventional straight trajectories under various boundary conditions, and the numerical results were partially validated through damping and frequency tests. The results indicate the vibration characteristics of the composite vertical stabilizer skin structure can be enhanced to a large extent by optimizing fiber trajectories, and the enhancement percentage is affected by the boundary conditions of the actual structure.     

Geometry and size optimization of stiffener layout for three-dimensional box structures with maximization of natural frequencies

Based on the growth mechanism of natural biological branching systems and inspiration from the morphology of plant root tips, a bionic design method called Improved Adaptive Growth Method (IAGM) has been proposed in the authors’ previous research and successfully applied to the reinforcement optimization of three-dimensional box structures with respect to natural frequencies. However, as a kind of ground structure methods, the final layout patterns of stiffeners obtained by using the IAGM are highly subjected to their ground structures, which restricts the optimization effect and freedom to further improve the dynamic performance of structures. To solve this problem, a novel post-processing geometry and size optimization approach is proposed in this article. This method takes the former layout optimization result as start, and iteratively finds the optimal layout angles, locations, and lengths of stiffeners with a few design variables by optimizing the positions of some specific node lines called active node lines. At the same time, thicknesses of stiffeners are also optimized to further improve natural frequencies of three-dimensional box structures. Using this method, stiffeners can be successfully separated from their ground structures and further effectively improve natural frequencies of three-dimensional box structures with less material consumption. Typical numerical examples are illustrated to validate the effectiveness and advantages of the suggested method.     

靶机挂载可变 RCS龙勃透镜时的 RCS起伏特性

训练用靶机尺寸远小于实战中的飞机,其 RCS数值大小和起伏特性与飞机存在较大的差别。为了以低廉的价格为部队训练提供高逼真度的模拟靶机,在靶机机头、翼下等位置放置一定样式的可变 RCS龙勃透镜,可以得到类似实战中飞机的 RCS特性。通过控制龙勃透镜的反射面位置可以改变其 RCS数值,实现模拟靶机 RCS的数值变化。采用靶机挂载可变 RCS龙勃透镜对 MQ-1无人机前向 RCS起伏特性进行了模拟,取得了较好的效果,可为采用靶机挂载可变 RCS龙勃透镜模拟作战飞机的全向 RCS特性提供借鉴。     

Multiple model predictive control of perching maneuver based on guardian maps

Considering the strong nonlinearity of Unmanned Aerial Vehicles(UAVs) resulting from high Angle of Attack(AOA) and fast maneuvering, we present a multi-model predictive control strategy for UAV maneuvering, which has a small amount of online calculation. Firstly, we divide the maneuver envelope of UAV into several sub-regions on the basis of the gap metric theory. A novel algorithm is then developed to determine the ploytopic model for each sub-region.According to this, a Robust Model Predictive...     

In-process adaptive milling for large-scale assembly interfaces of a vertical tail driven by real-time vibration data

Assembly interfaces, the joint surfaces between the vertical tail and rear fuselage of a large aircraft, are thin-wall components. Their machining quality are seriously restricted by the machining vibration. To address this problem, an in-process adaptive milling method is proposed for the large-scale assembly interface driven by real-time machining vibration data. Within this context, the milling operation is first divided into several process steps, and the machining vibration data in each pro...     

基于松弛约束Hammerstein非线性模型的增程式APU预测控制

针对增程式辅助动力单元（APU）工作点切换过程的转速控制,提出了一种基于Hammerstein非线性模型的预测控制策略。通过稀疏最小二乘支持向量机-自适应混沌粒子群优化（SLSSVM-ACPSO）算法辨识激励响应数据建立了发动机Hammerstein非线性模型,在模型预测控制求解最优控制序列时,采用松弛因子松弛约束边界,并设计了有效集（ASM）-ACPSO组合算法求解,在控制过程中应用了变预测时域策略。建立系统仿真模型,仿真结果显示:在热机点切换至低负荷点及低负荷点切换至中负荷点的过程中稳定时间分别为2.57 s和2.77 s,转速最大超调率分别为2%和1.6%,均优于两种对比策略;在中负荷点向高负荷点切换过程中,转速超调率较大,但控制过程转矩变化更平缓。仿真结果表明模型预测控制策略控制APU系统转速响应快、转速超调率小,发动机转矩超调量小,具有良好的动态控制效果。      

空间拦截智能自适应变结构导引规律研究

结合空间拦截的精确末制导问题，本文介绍了一种对目标机动和参数摄动具有鲁棒性的自适应结构制导律（ＡＶＳＧ）。在此基础上，我们研究了一种智能自适应变结构制方法（ＩＡＶＳＧ）。此方法精略地估计出目标法向加速度的强度，并以此为依据自主地调整ＡＶＳＧ中变结构项的强度，这样，既可以消除视线角速度的抖动，又可以保证制导精度，仿真结果证明了ＩＡＶＳＧ的有效性。     

星载SAR的多普勒中心频率估计的新探索

本文对几种经典的多普勒中心频率估计算法的从滤波的角度加以分析，分析了符号相关算法的实质，并提出一种了简单适用的非线性滤波方法，对雷达回波方位功率谱周期图进行平滑，在满足成象要求下，可以快速估计出多普勒中心频率。     

X波段波导端头裂缝的数值分析

用矩量法(MOM)导出求解X波段波导端头裂缝口面等效磁流的公式。在此基础上,计算波导不同频率下的反射系数和驻波系数等参数。给出了BJ-100波导端头裂缝口参数的计算结果,据此讨论了裂缝长度、宽度、厚度与谐振频率的关系。另外检验了圆头与方头裂缝的等效性,并给出了波导端头裂缝谐振频率的近似设计公式。分析结果表明,该算法简单,计算结果与测试值吻合较好。     

正交解调中频误差对脉间变频雷达成像结果的影响

针对采用固定中频正交解调方法的脉间变频雷达可能存在的中频误差进行分析,得到在中频上进行正交解调不会对成像造成影响的结论。推导存在中频频率误差条件下的成像公式,分析误差影响的主要表现。通过仿真对比不同中频频率误差对二维成像结果的影响,得出成像结果随频率误差变化的规律,给出可以忽略此误差的条件。