考虑配平特性的超声速客机低声爆气动布局优化研究

降低声爆水平是下一代超声速运输机研制需要解决的关键问题之一。低声爆优化通常使飞行器布局向着机翼后掠角增大、机翼沿机身方向分布范围增大的趋势发展,给飞行器的配平和低速特性带来不利影响。以某超声速客机基本构型为研究对象,建立基于类别/形状函数的翼身组合体参数化建模方法;基于超声速线化理论分析外形几何参数对声爆水平的影响。在此基础上,分别针对机身轮廓、机翼平面形状以及扭转角分布对该构型进行低声爆优化和俯仰力矩特性优化,并采用CFD 方法对优化结果进行校核。结果表明：与基准构型相比,在不显著增加俯仰力矩的基础上,优化构型的阻力降低了19 cts,近场过压显著降低,地面声爆响度降低5.1 PLdB。     

汽车双横臂独立悬架参数优化与仿真研究

针对国内某轿车双横臂独立悬架系统，运用ADMAS／View模块建立了双横臂式悬架模型，利用ADMAS／Insight模块对建立的双横臂式独立悬架进行了优化分析。优化结果分析表明：通过悬架参数优化设计，使前悬架性能有了较大的提高。     

Mechanism parameters optimization of bionic frog jumping robot based on velocity directional manipulability measure

以速度方向可操作度作为跳跃性能的评价指标,从机构设计角度寻求改善仿蛙跳跃机器人跳跃性能的方法.在仿蛙跳跃机器人机构模型的基础上,建立了起跳阶段的运动学方程,得到机器人从关节空间到质心运动空间的速度映射关系,结合速度方向可操作度,利用优化算法对仿蛙跳跃机器人的机构参数进行优化,使机器人的跳跃性能达到最佳.优化结果表明,运用速度方向可操作度理论,对跳跃机器人机构参数进行优化研究是有效可行的.     

基于遗传算法的军事物流运输计划

针对军事物流运输中车辆装载和车辆路径的组合问题进行研究,建立车辆装载和车辆路径组合问题的目标优化模型。通过改进遗传算法对模型求解,得到了较为满意的结果,可以在满足多车型多品种货物配送约束的条件下,实现运输车辆最少、车辆满载率高、车辆运输路径最短的目标。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

长矩形盒零件超塑性胀形工艺加载规律的优化

本文通过对长矩形盒零件的力学解析，得到了优化加载规律的数学表达形式。按此规律进行气压胀形，与恒压胀形实验结果相比，能有效地提高成形极限，并使厚度分布情况有明显的改善。     

薄壁内、外半管冲压成形工艺参数模拟优化设计

针对内、外半管的结构特点,分析计算冲压成形主要工艺参数及毛坯尺寸,运用有限元分析软件ANSYS/LS-DYNA,对内、外半管的成形过程进行了模拟。研究了不同压边力及不同冲压速度对零件拉深成形的影响,分析了零件的成形工艺及其起皱缺陷,优化了毛坯形状,避免了成形过程中的缺陷,获得了理想的毛坯形状和工艺参数。     

Optimization of entry-vehicle shapes during conceptual design

During the conceptual design of a re-entry vehicle, the vehicle shape and geometry can be varied and its impact on performance can be evaluated. In this study, the shape optimization of two classes of vehicles has been studied: a capsule and a winged vehicle. Their aerodynamic characteristics were analyzed using local-inclination methods, automatically selected per vehicle segment. Entry trajectories down to Mach 3 were calculated assuming trimmed conditions. For the winged vehicle, which has both a body flap and elevons, a guidance algorithm to track a reference heat-rate was used. Multi-objective particle swarm optimization was used to optimize the shape using objectives related to mass, volume and range. The optimizations show a large variation in vehicle performance over the explored parameter space. Areas of very strong non-linearity are observed in the direct neighborhood of the two-dimensional Pareto fronts. This indicates the need for robust exploration of the influence of vehicle shapes on system performance during engineering trade-offs, which are performed during conceptual design. A number of important aspects of the influence of vehicle behavior on the Pareto fronts are observed and discussed. There is a nearly complete convergence to narrow-wing solutions for the winged vehicle. Also, it is found that imposing pitch-stability for the winged vehicle at all angles of attack results in vehicle shapes which require upward control surface deflections during the majority of the entry.     

应用模糊变权的启发式搜索进行飞行轨迹优化

回顾了军机轨迹优化问题的提出及研究历史，介绍了几种主要方法的特点，特别是启发式搜索算法应用于飞行轨迹优化问题时存在的主要问题。提出为了得到较好的近优路径而采取的模糊变权处理方法。通过计算不同加权下解的情况，说明模糊变权方法是使加权随具体情况作相应调整的有效手段，为提高飞行路径规划系统的有效性开辟了一个新思路。     

Improved NSGA-II Multi-objective Genetic Algorithm Based on Hybridization-encouraged Mechanism

To improve performances of multi-objective optimization algorithms, such as convergence and diversity, a hybridization- encouraged mechanism is proposed and realized in elitist nondominated sorting genetic algorithm （NSGA-Ⅱ）. This mechanism uses the normalized distance to evaluate the difference among genes in a population. Three possible modes of crossover operators--＂Max Distance＂, ＂Min-Max Distance＂, and ＂Neighboring-Max＂--are suggested and analyzed. The mode of ＂Neighboring-Max＂, which not only takes advantage of hybridization but also improves the distribution of the population near Pareto optimal front, is chosen and used in NSGA-Ⅱ on the basis of hybridization-encouraged mechanism （short for HEM-based NSGA-Ⅱ）. To prove the HEM-based algorithm, several problems are studied by using standard NSGA-Ⅱ and the presented method. Different evaluation criteria are also used to judge these algorithms in terms of distribution of solutions, convergence, diversity, and quality of solutions. The numerical results indicate that the application of hybridization-encouraged mechanism could effectively improve the performances of genetic algorithm. Finally, as an example in engineering practices, the presented method is used to design a longitudinal flight control system, which demonstrates the obtainability of a reasonable and correct Pareto front.