用光纤半圆阵列测量准二维工件表面粗糙度参数的仿真研究

提出了一种反散射计算的简单、快速方法,用于用光纤半圆阵列的光散射技术测量准二维工件表面的粗糙度参数。这些参数包括高度特性参数 R_a、间距特性参数λ_a 和混合参数△_a。我们的研究证明了上述测量方法的正确性。因而,这种测量方法可用于测量工件表面粗糙度参数仪器的设计。     

An inverse strategy to determine constitutive parameters of tubular materials for hydroforming processes

This paper is to determine the flow stress curve of 5049-O aluminium alloy by a tube hydraulic bulging test with fixed end-conditions. During this test, several tubular specimens are bulged under different internal pressures before their bursting, and the corresponding bulging height and wall thickness at the pole are measured. An inverse strategy is developed to determine the constitutive parameters of tubular materials based on experimental data, which combines the finite element method with g...     

一种BP MFN逆模型补偿的复合控制结构方案研究

由于对结构未知和不确定的非线性系统还没有形成一种通用有效的辨识和控制方法，为此首先对非线性系统逆模型辨识和控制的结构方案进行分析，然后基于复合控制思想，对基于神经网络的非线性系统逆模型补偿的复合控制结构方案进行研究。设计了一种基于BP MFN（Multilayer Feedforward Network）逆模型补偿的复合控制结构方案，并基于不同BPMFN逆模型结构进行了仿真。仿真结果显示，基于神经网络的非线性系统逆模型补偿的复合控制结构方案是有效的，且在满足辨识建模精度要求前提下，采用相对简单的BPMFN逆模型结构，对提高逆模型的泛化能力和非线性系统的控制效果是有益的。     

体上无限上(下)三角阵的双侧逆方阵

论文对体上一般的无限上（下）三角阵（不要求是行有限的）进行了研究。用紧致性论证给出了任一体R上无限上（下）胡角阵具有唯一双侧逆方阵的充要条件。     

一种基于旋量理论的自动钻铆机调姿反解算法

运动学反解是实现机床运动控制的技术基础,也是提高运动精度的技术保证。根据飞机装配自动化钻铆的需求分析,以龙门式自动钻铆机为研究对象,基于旋量理论建立其运动学模型。采用Paden-Kalan子问题模型和自动钻铆机上下末端执行器的几何关系相结合的方法,提出了一种基于旋量理论的自动钻铆机运动学反解算法,并在CATIA中的DMU模块下对算法进行算例验证。结果表明:基于旋量理论的运动学反解算法正确,为自动钻铆机的运动控制提供了理论基础。     

Research of low boom and low drag supersonic aircraft design

Sonic boom reduction will be an issue of utmost importance in future supersonic transport, due to strong regulations on acoustic nuisance. The paper describes a new multi-objective optimization method for supersonic aircraft design. The method is developed by coupling Seebass–George–Darden(SGD) inverse design method and multi-objective genetic algorithm.Based on the method, different codes are developed. Using a computational architecture, a conceptual supersonic aircraft design environment(CSADE) is constructed. The architecture of CSADE includes inner optimization level and out optimization level. The low boom configuration is generated in inner optimization level by matching the target equivalent area distribution and actual equivalent area distribution. And low boom/low drag configuration is generated in outer optimization level by using NSGA-II multi-objective genetic algorithm to optimize the control parameters of SGD method and aircraft shape. Two objective functions, low sonic boom and low wave drag, are considered in CSADE. Physically reasonable Pareto solutions are obtained from the present optimization. Some supersonic aircraft configurations are selected from Pareto front and the optimization results indicate that the swept forward wing configuration has benefits in both sonic boom reduction and wave drag reduction. The results are validated by using computational fluid dynamics(CFD) analysis.     

一种可移动检测机器人站位规划策略

针对大型舱体舱外有效载荷支架检测过程中机器人站位难以确定的问题,提出一种规划策略。首先,结合机器人正运动学构建检测环境的数学模型,分别从舱体轴向与径向初步划分工作区域。然后,基于遗传算法(GA)优化检测视点次序并对工作区域栅格化处理,结合工作区域内对应视点位姿信息及关节转角约束,通过机器人逆运动学求得满足约束条件站位。最后,考虑不同关节转角误差对机器人末端精度和机器人运行过程安全性的影响,对检测过程各关节角度变化方差加权处理并构造优化函数。通过算例验证了所构建的模型及方法的可行性,结果表明该策略能够得到满足检测需求的优化站位。     

基于逆动态理论的空间飞行器大角度机动控制

提出了一种基于逆动态理论的轮控空间飞行器大角度机动控制方法。用逆动态控制对系统作非线性解耦,基于变结构控制的鲁棒性设计控制器,给出了控制回路方案。仿真结果表明：该控制法在有外界干扰和系统参数不确定条件下有较快的收敛性和一定的鲁棒性。     

带三角形V肋和反向V肋内冷通道强化换热机理研究

为了研究Ⅴ型肋分布形式和截面形状对带肋通道表面的换热强度和流动结构的影响,采用瞬态液晶实验和数值模拟相结合的方法,对截面形状为三角形的Ⅴ肋和反向Ⅴ肋在不同雷诺数工况下的表面换热系数分布规律进行了研究,并分析了Ⅴ肋和反向Ⅴ肋诱导产生的肋间涡的发展特性,并与传统矩形截面肋结构进行了对比分析。结果表明:带肋通道表面换热系数随雷诺数增大而增大;正向Ⅴ肋后换热系数呈"心"型分布,在一条肋两支之间诱导一对涡,并沿流向向两侧发展,三角形截面肋的高换热区更集中于中线;反向Ⅴ肋后换热系数呈"八"字型分布,在一条肋两支外侧诱导对涡,沿流向向中间发展,且三角形肋的展向范围更大。三角形截面肋的换热强于矩形截面肋,且当入口雷诺数低于2.5×104时,三角形反向Ⅴ肋的换热效果最好。     

Entropy based inverse design of aircraft mission success space in system-of-systems confrontation

This paper presents a practical and efficient design method for aircraft Mission Success Space (MSS) based on the entropy measurement (EM). First, fundamentals regarding MSS, Inverse Design (ID) and entropy are discussed. Then, two EM schemes of entropy-based ID and the whole MSS ID procedure are given to demonstrate alternative ways of entropy quantification and MSS design. After that, Genetic Algorithm (GA) is utilized as a search algorithm to find the optimal MSS design with the minimum objective, entropy, in each EM scheme. A simulation case of aircraft penetration mission is given for the method validation where the best aircraft MSS design is obtained by GA according to the minimum entropy. Results from two schemes are compared at the end.