Multiple-constraint cooperative guidance based on two-stage sequential convex programming

An improved approach is presented in this paper to implement highly constrained cooperative guidance to attack a stationary target. The problem with time-varying Proportional Navigation (PN) gain is first formulated as a nonlinear optimal control problem, which is difficult to solve due to the existence of nonlinear kinematics and nonconvex constraints. After convexification treatments and discretization, the solution to the original problem can be approximately obtained by solving a sequence of Second-Order Cone Programming (SOCP) problems, which can be readily solved by state-of-the-art Interior-Point Methods (IPMs). To mitigate the sensibility of the algorithm on the user-provided initial profile, a Two-Stage Sequential Convex Programming (TSSCP) method is presented in detail. Furthermore, numerical simulations under different mission scenarios are conducted to show the superiority of the proposed method in solving the cooperative guidance problem. The research indicated that the TSSCP method is more tractable and reliable than the traditional methods and has great potential for real-time processing and on-board implementation.     

基于仿真优化的某航天产品装配线规划方法研究

航天产品的装配工艺复杂,具有典型的小批量、多品种特点,因此动态设置装配工位成为装配线规划的重要内容.本文以装配线平滑指数最小化为目标,以装配工艺、空间布局、路径等为约束条件,建立装配线工位数量优化模型.本文先对装配现场的不确定影响因素进行分析与建模,并提出基于仿真的优化方法,利用仿真模型模拟装配线运行状态,并通过遗传算法确定最优的工位数量,实现装配线的动态平衡,从而有效地提高装配线单元工位规划的精确度与效率.     

多旋翼无人机飞行控制自动调参技术

目前,多旋翼无人机控制器设计问题中存在着大量的依靠经验的调参工作。为了使调参简单而又可靠,本文基于控制器参数与控制系统性能响应存在的对应关系,提出了自动调参思想。在满足控制器各项性能指标的前提下,利用粒子群算法(Particle swarm optimization,PSO)提炼出优化目标和约束条件。对被控对象进行建模并搭建非线性模型。然后,利用工程实践方法估算出参数范围,并利用粒子群快速优化特点自动寻找在约束条件下符合性能指标的控制器参数。最后,通过Matlab/Simulink对模型进行仿真验证。仿真结果分析表明,PSD可快速准确地对飞行控制进行自动调参。     

An optimization tool for satellite equipment layout

Selection of the satellite equipment layout with performance constraints is a complex task which can be viewed as a constrained multi-objective optimization and a multiple criteria decision making problem. The layout design of a satellite cabin involves the process of locating the required equipment in a limited space, thereby satisfying various behavioral constraints of the interior and exterior environments. The layout optimization of satellite cabin in this paper includes the C.G. offset, the moments of inertia and the space debris impact risk of the system, of which the impact risk index is developed to quantify the risk to a satellite cabin of coming into contact with space debris. In this paper an optimization tool for the integration of CAD software as well as the optimization algorithms is presented, which is developed to automatically find solutions for a three-dimensional layout of equipment in satellite. The effectiveness of the tool is also demonstrated by applying to the layout optimization of a satellite platform.     

黎曼几何在计算机视觉中的应用研究进展

在计算机视觉领域，许多任务相关数据具有非欧结构，近年来基于黎曼几何的数据表征与应用研究受到了越来越多的关注。如何充分利用数据的几何结构，来提高目标识别、目标跟踪及目标检测算法的性能，是其中的一些研究热点。本文主要从三个方面介绍黎曼流形在计算机视觉中的应用研究进展。首先，从数学基本概念出发，阐述黎曼流形与图像的关系以及视觉应用的可行性，并介绍计算机视觉中具有重要应用的几种黎曼流形。其次，对黎曼流形在计算机视觉中若干常见应用进行了概述，重点介绍了与深度学习相结合的相关进展。最后，对引入黎曼流形的机器学习方法的未来发展进行了分析和讨论。     

基于加权朴素贝叶斯分类器和极端随机树的蛋白质接触图预测

提出一个新的基于集成学习的预测器(TargetPCM),对蛋白质接触图(特别是中长程)进行高精度的预测。首先,TargetPCM使用加权朴素贝叶斯分类器(Weighted Nave Bayes classifier,WNBC)融合3个接触图预测器的输出,其中WNBC中的权重参数通过粒子群算法优化得到;其次,将WNBC融合后的输出和基于序列的特征进行组合,得到更具鉴别能力的特征;在此基础上,应用极端随机树训练得到最终的蛋白质接触图预测模型。为了验证TargetPCM的有效性,在包含98个非冗余蛋白质的数据集上进行了测试。结果表明:对于短程、中程和长程接触,TargetPCM的Top L/5精度比现有最好的集成预测器(NeBcon)分别提高了8.2%,16.1%和5.3%。在CASP11上进一步的验证表明,对于短程、中程和长程接触,TargetPCM的Top L/5精度比现有最好的基于协同进化的集成预测器(MetaPSICOV)分别提高了7.4%,9.1%和7.5%。实验结果验证了本文所提蛋白质接触图预测方法的有效性。     

航空发动机装配数字化技术应用研究

通过对航空发动机装配数字化的应用背景、流程优化、关键技术、数据集成、知识重用等方面进行了深入的研究与探索,系统地提出了装配数字化的一套合理的解决方案,对于提高装配质量水平,实现精益化装配指出了一条可行的路线。     

Multi-objective optimization of parachute triggering algorithm for Mars exploration

A multi-objective optimization procedure to design parachute triggering algorithm, based on Monte Carlo analysis of flight uncertainties, has been developed in this paper. Most of Mars explorations missions utilize parachute for a safe descent through the lowest of the atmosphere. The parachute triggering algorithm is designed to accommodate the range of off-nominal entry trajectories, and is aimed to parachute opening in certain range of Mach numbers, dynamic pressure and altitude. Our novel algorithm takes the fight uncertainty into the account through Monte Carlo analysis, selects maximization of altitude statistical mean and minimization of Mach number statistical mean as two objectives, then employs multi-objective evolutionary algorithm based on decomposition (MOEA/D), to search the Pareto-front framework. Such a methodology can be implemented on the future design of entry, descent, and landing (EDL) mission.     

基于参数化有限元方法的机翼重量预测

为飞机总体设计阶段提供一种快速而较精确的机翼重量预测方法。该方法是将参数化几何建模和参数化有限元建模方法相结合,快速地建立机翼结构有限元模型。通过应用CATIA二次开发技术,实现机翼结构布置模型的自动生成;通过运用PATRAN的PCL语言,实现结构有限元模型的自动生成;通过应用优化方法,确定出结构尺寸,进而计算出机翼重量。算例表明,本方法可快速地分析不同结构布置方案和不同材料方案的机翼重量,适用于飞机总体方案设计阶段机翼重量计算。     

基于粒子群算法的导弹PID控制参数选择

PID控制在导弹控制系统的设计中得到了较多的应用,但PID控制器的性能依赖于其参数的整定和优化。利用粒子群算法对控制器的参数进行优化,并对俯仰通道控制系统进行了仿真研究,结果表明,攻角和俯仰角速度都取得了较好的效果,当气动参数具有不确定性时,效果依然较好,验证了方法的有效性。