飞机V型外倾双垂尾载荷校准技术

根据垂尾载荷校准及建模需求,对飞机V型外倾双垂尾结构受载情况进行了分析和简化,确定了校准试验载荷,研制了垂尾载荷校准试验专用龙门梁架。采用液压协调加载技术,完成了外倾双垂尾载荷校准试验,建立了满足测载要求的载荷模型。此种方法充分利用了左右垂尾外倾、双垂尾之间空间较大的特点,对左右垂尾对称施加向外的单点、多点载荷,加载载荷侧向分量左右自平衡,垂向分量依靠飞机自身重量即可平衡,飞机不需要复杂的固定与约束。试验中采用先搭建龙门框架,再停放飞机的方法,降低了试验风险、加快了试验进度,取得了良好的试验结果,对其他此类结构的载荷校准具有一定的借鉴作用。     

Mo M-PO/SBR Algorithm Based on Collaborative Platform and Mixed Model

For electromagnetic scattering of 3-D complex electrically large conducting targets,a new hybrid algorithm,Mo M-PO/SBR algorithm,is presented to realize the interaction of information between method of moment(Mo M)and physical optics(PO)/shooting and bouncing ray(SBR). In the algorithm,the COC file that based on the Huygens equivalent principle is introduced,and the conversion interface between the equivalent surface and the target is established. And then,the multi-task flow model presented in this paper is adopted to conduct CPU/graphics processing unit(GPU)tests of the algorithm under three modes,i.e.,MPI/Open MP,MPI/compute unified device architecture(CUDA) and multi-task programming model(MTPM). Numerical results are presented and compared with reference solutions in order to illustrate the accuracy and the efficiency of the proposed algorithm.     

Adaptive suppression of passive intermodulation in digital satellite transceivers

For the performance issues of satellite transceivers suffering passive intermodulation interference,a novel and effective digital suppression algorithm is presented in this paper.In con trast to analog approaches,digital passive intermodulation (PIM) suppression approaches can be easily reconfigured and therefore are highly attractive for future satellite communication systems.A simplified model of nonlinear distortion from passive microwave devices is established in consid eration of the memory effect.The multiple high-order PIM products falling into the receiving band can be described as a bilinear predictor function.A suppression algorithm based on a bilinear poly nomial decorrelated adaptive filter is proposed for baseband digital signal processing.In consideration of the time-varying characteristics of passive intermodulation,this algorithm can achieve the rapidness of online interference estimation and low complexity with less consumption of resources.Numerical simulation results show that the algorithm can effectively compensate the passive intermodulation interference,and achieve a high signal-to-interference ratio gain.     

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic con gestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas (PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors (NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in mainland China is collected as the origin-destination (OD) air port pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67％,while the total length of flight segments and air routes drop by 32.03％ and 5.82％ respectively.The NSLF decreases by 5.82％ with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22％.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.     

An Improved Nonlinear Dynamic Inversion Method for Altitude and Attitude Control of Nano Quad-Rotors under Persistent Uncertainties

Nonlinear dynamic inversion(NDI)has been applied to the control law design of quad-rotors mainly thanks to its good robustness and simplicity of parameter tuning.However,the weakness of relying on accurate model greatly restrains its application on quad-rotors,especially nano quad-rotors(NQRs).NQRs are easy to be influenced by uncertainties such as model uncertainties(mainly from complicated aerodynamic interferences,strong coupling in roll-pitch-yaw channels and inaccurate aerodynamic prediction of rotors)and external uncertainties(mainly from winds or gusts),particularly persistent ones.Therefore,developing accurate model for altitude and attitude control of NQRs is difficult.To solve this problem,in this paper,an improved nonlinear dynamic inversion(INDI)method is developed,which can reject the above-mentioned uncertainties by estimating them and then counteracting in real time using linear extended state observer(LESO).Comparison with the traditional NDI(TNDI)method was carried out numerically,and the results show that,in coping with persistent uncertainties,the INDI-based method presents significant superiority.     

硅半球深腔结构无损检测技术

半球深腔的加工质量是决定硅基MEMS半球陀螺精度的关键因素之一，及时检测半球深腔的形貌参数并将其反馈至加工过程，是确保高性能MEMS半球陀螺研制成功的重要措施。由于硅半球深腔的深度较大，台阶仪和光学显微成像系统无法对半球深腔的形貌特征进行有效测量。因此,需要将硅深腔结构剖开后采用扫描电镜(SEM)进行检测。这种检测方式时间周期长，且属于破坏性的样本检测，效率和测试精度都较低。提出以硅半球深腔为模具，利用PDMS铸模将硅半球深腔的结构尺寸和表面形貌转移到PDMS凸起的半球模型上，通过检测PDMS半球模型的尺寸结构和表面形貌，即可反推出硅半球深腔的尺寸特征。经实验验证，脱模后的PDMS模型可以准确地反映出半球深腔的尺寸信息，测量结果的不确定度小于5‰，有效解决了硅半球深腔无损检测的难题。     

一种卫星信道的反馈优化接入机制

提高卫星信道资源利用率，探索高效可行的端站接入机制是卫星通信发展亟待解决的问题之一。当前卫星通信DVB-RCS标准基于带宽预先规划的接入机制与端站随遇接入的需求矛盾凸显，因此提出一套信道反馈优化接入机制，综合考虑各端站数据业务需求，在不改变原有协议信令特征的基础上，探索性地引入谦虚度激励方法，创造性地构造动态协商反馈模型并加以求解，达到提高端站接入数量、满足随遇接入需求、提升信道利用效率、最大化整体带宽通信业务效益的目的。通过试验验证，带宽分配反馈优化机制比传统模式提高近1倍接入率，最大端站数接入时算法耗时约只有0.67s，可为卫星信道使用提供技术参考。     

几种生长模型参数的最小二乘估计方法及应用

提出一种Logistic模型、Gompertz模型、Mitscherlich模型和Bertallanffy模型的分布参数估计方法，这种方法以加权最小二乘法为基础，推导求解分布参数的方程组。利用这类曲线模型中参数形式的特点，使同时求解三个参数的问题简化为同时求解两个参数的问题，并给出求解参数耦合方程组的二重二分迭代法。预测地基沉降的计算实例表明，这种方法对于迭代初值的选取要求较低、求解速度快、精度高，而且通过选取权因子可以对已有数据实现“重近轻远”的处理。     

航空发动机机匣包容试验叶片飞脱方法

风扇机匣包容性试验是航空发动机适航许可试验的重要内容之一,而风扇叶片的飞断方法是风扇机匣包容试验的关键.简述了发动机风扇机匣包容性试验中常用的3种叶片飞脱方法,重点介绍了预制裂纹与线型聚能切割器爆破切割相结合的爆破飞脱方法,并采用该方法对钛合金实心平板叶片进行了静态爆破切割试验,试验结果与设计方案相吻合,达到了预期目标,证明了该爆破飞脱方法具有较强的可行性和较高的可靠性.