远地点发动机推力矢量的极坐标算法

简述了远地点发动机推力矢量测试系统的原理;概述了往次试验数据处理所采用的推力矢量计算方法--“线性组合法”,着重分析其缺点;提出了计算准确度更高的极坐标计算方法,并给出了极坐标法计算举例。     

晨昏时段大气辐射对成像有效信噪比的影响

从成像有效信噪比的角度出发,利用MODTRAN辐射传输软件,分析计算了晨昏时段大气辐射的分布特点及其对成像的潜在影响。结果表明选择近红外成像谱段,可有效抑制大气背景辐射,实现晨昏时段一定观测倾角下的目标探测能力。     

复杂禁飞区高超声速飞行器路径-轨迹双层规划

针对高超声速飞行器在复杂禁飞区的规避场景,为解决现有轨迹规划方法对任务初值依赖性强的问题,提出一种基于双层规划建模的路径-轨迹规划方法。其中,上层为路径规划,为轨迹提供路径点引导信息,避免轨迹陷入局部解;下层为轨迹规划,利用上层输出的路径点信息,将轨迹分割成多个横向机动小的子段,解析求解横纵向飞行剖面,减小运动模型简化误差。数值仿真表明,与现有轨迹优化方法相比,本方法能够选择指标更优的路径,提高了轨迹规划的全局性能;解析飞行剖面制导误差不超过0.03%,解决了大范围横向机动的剖面解析难题。     

基于局部平稳AR模型的信号结构变化点精确估计方法

研究了局部平稳AR模型,提出了基于递归辅助变量（RIV）双格型滤波算法,通过统计分析信息量AIC的变化精确估计信号结构变化点。对遥测速变参数的分析表明,该方法能够精确定位信号结构的变化点,实现局部平稳信号的精确分割。     

一种实用的Turbo码编译码设计

Turbo码对解决远距离微弱信号处理问题提供了良好的途径,然而其交织器对存储的要求和译码算法的复杂性,提高了其工程实现的难度。本文提出一种实用的方案,采用二次置换多项式（QPP）交织器和线性拟合Log—Map译码算法,减少了计算量,节省了存储空间。同时,通过参量优化设计,提高了纠错性能。仿真实验结果表明,该方案能够满足低信噪比条件下的误码率要求,易于工程实现。     

改进的OSLO算法

本文给出了一个计算离散B-样条函数的基于导向点的改进了的OSLO算法。该算法在计算机辅助几何设计、计算机图形、图象处理及模式识别中有广泛的应用。与原来的OSLO 算法相比,本算法主要在存贮空间及执行速度上做了优化。     

总装专业化自动量化点胶系统研究

为了改善现有薄膜型外热流模拟加热器制作的不足,研发了一套基于CCD视觉技术的自动量化点胶系统,该系统具备加热器粘贴位置自动画线、点胶位置智能选取、全自动点胶等多项功能,系统硬件结构稳定、人机交互界面简便友好,能够提高外热流成品制作质量及效率。     

A novel method for solving shortest tool length based on compressing 3D check surfaces relative to tool postures

Solving the shortest tool length quickly under a known tool trajectory in multi-axis machining of complex channel parts is an urgent problem in industrial production. To solve this problem, a novel and efficient method is proposed which is featured by extracting only a few necessary curves from the check surface instead of sampling the entire surface. By rotating and compressing the 3D check surface relative to all tool postures, the boundaries of the area occupied by the 2D compressed surfaces are the essential elements for determining the shortest tool length. A tracking-based numerical algorithm is introduced to efficiently solve the silhouette curves which are formed in compressing. To define the multi-taper shaped tool holding system (THS) which is commonly used in production, a characterization model for THS profile is established. A model for solving the shortest tool length is finally constructed based on the critical interference relationship between the THS profile and all compressed boundary curves. For acceleration, the boundary splines are segmented according to their knot vectors. Then a new concept called the axis-aligned tool length box (AATB) is introduced, which can provide a conservative range of tool length for a spline segment. By scanning the AATBs of all spline segments, the very few effective spline segments that may ultimately determine the shortest tool length are filtered out. This acceleration method makes the solution for the shortest tool length more focused and efficient. The results of experimental examples are also reported to validate the efficiency and accuracy of the proposed algorithm.     

一种基于MATLAB快速开发跨平台算法软件的方法

利用MATLAB进行算法的研究、仿真和实现，已经成为科研工作者的重要手段之一。在MATLAB上开发算法便捷、高效，但无法直接应用在其他平台，此时需要软件人员编码转换进行二次开发。如果某个算法同时应用在Windows和Linux这两个系统中，软件人员需要开发两个不同的软件，它们功能相同只是代码不同。这不仅增加了软件开发的工作量，同时也不利于后期维护。针对上述问题，提出了一种基于MATLAB快速开发跨平台算法软件的方法。首先，利用MATLAB开发算法的便捷性进行算法的调试与验证，简化接口函数；其次，使用MATLAB Coder生成独立于MATLAB的C/C++代码；然后，将生成的代码在不同平台下进行封装，生成该目标平台的动态链接库；最后，不同平台通过调用该平台下的动态链接库，实现了同一算法的跨平台软件开发。所提出的算法软件跨平台开发方法，已成功应用于多个实际项目。通过本方法，不仅缩短了软件的开发周期，提高了软件编程效率，减少了软件开发中的人为错误，同时方便了软件的后期维护。     

Improving the low orbit satellite tracking ability using nonlinear model predictive controller and Genetic Algorithm

The satellite motion on the reference orbit (RO) with less energy consumption has always persuaded researchers to design optimal control systems. The nonlinear nature and time-varying equations of motion make this quest more challenging. The present study proposes a novel control system for satellite motion on the RO by considering a comprehensive model of its dynamics in orbit and a Nonlinear Model Predictive Controller (NMPC). The NMPC calculates the sub-optimal control inputs of satellite motion reference on the elliptic orbit by minimizing a convex cost function at each stage. Moreover, all weighting parameters of the cost function are optimized by the Genetic Algorithm (GA) to produce less perturbation and guarantee the best NMPC performance. Finally, the implemented NMPC has been compared to a Linear MPC (LMPC). The results show that not only can the NMPC resist against larger errors and perturbations, but it can also compensate for those errors by returning the satellite to its main orbit and maintaining it.