应用免疫遗传算法优化设计层合板铺层顺序

应用遗传算法对复合材料层合板的铺层顺序进行优化设计,并通过免疫机理解决基本遗传算法中存在的收敛效率低、"早熟"等问题.以层合板的面内几何因子和弯曲因子为优化对象,建立遗传算法的优化模型.通过交叉、变异等遗传操作,搜索问题的最优解.借助免疫系统对抗体的促进和抑制机制,调节种群中个体的多样性.数值算例中给定了层合板的面内几何因子和弯曲因子,应用免疫遗传算法求解层合板的最佳铺层顺序.并将应用免疫遗传算法与标准遗传算法得到的优化结果进行了比较,证明了免疫遗传算法的优越性和实用性.     

变体机翼后缘多学科设计与优化

变体飞机能够改变自身外形适应不同的飞行状态,提高飞行性能,其设计涉及气动、材料、结构等多个学科。本文采用零泊松比蜂窝结构的材料作为柔性蒙皮,设计了一种具备机翼参考面积不因弯度改变而缩减的特点的机翼后缘无缝偏转机构,研究了变体机翼后缘机构多学科设计与优化方法。优化结果表明,优化后的机翼巡航和起降状态都具备良好的气动性能,不但柔性蒙皮可产生大尺度拉伸变形,而且后缘结构均能满足刚度、强度等性能指标,同时机翼结构质量相比初始设计减轻了18%。文中研究的变体机翼多学科优化设计方法,能够快速有效地完成变体机翼无缝偏转后缘优化设计。     

非平面机翼最小诱阻的法洗分布

关于机翼最小诱阻的下洗分布问题,很早就有人进行过研究。在升力约束条件下,Munk证明具有最小诱阻的机翼展向下洗分布为一常数。对于平面机翼在升力和翼根弯矩约束条件下,Jones证明具有最小诱阻的展向下洗为线性分布。目前使用的飞机机翼,通常都有上反角,且有的机翼上反角沿展向还有变化(例如带翼梢小翼的机翼)。对于这样的非平面机翼,在升力和翼根弯矩约束条件下,其最小诱阻的展向法洗分布规律尚不清楚,这就是本文所要研究的内容。     

辊弯成形仿真分析与参数优化(英文)

辊弯成形工艺是一种在常温下将平板金属材料通过连续转动的成形辊成形为所需截面的加工方法.本文通过有限元模型建立了一套避免重大产品质量缺陷的设计方法.通过对真实产品的仿真,在设计中考虑了两个辊弯成形主要缺陷,即边波和回弹.设计结果表明,该设计方法能够有效地控制这两大质量问题.     

Corner-milling of Thin Walled Cavities on Aeronautical Components

This article presents a mathematical model of helical end-milling forces through experimental identification of the cutting coefficients and analyzes the changes of corner-milling forces under different conditions. In allusion to the corner-milling process, the relationship between working parameters and the corner coordinates is investigated by way of combination of tool tracing and cutting geometrodynamics. The milling parameters are optimized by changing the coordinates of tool center and working parameters without altering cutting forces. By applying the optimized parameters to milling practice, a comparison is made to show the improved product quality. Based on these optimized parameters, a finite element method (FEM) program is used to compute deformation values of a workpiece's corner, which evidences few effects that optimized parameters can exert on the corner deformation.     

A quantum inspired genetic algorithm for multimodal optimization of wind disturbance alleviation flight control system

This paper develops a Quantum-inspired Genetic Algorithm (QGA) to find the sets of optimal parameters for the wind disturbance alleviation Flight Control System (FCS). To search the problem domain more evenly and uniformly, the lattice rule based stratification method is used to create new chromosomes. The chromosomes are coded and updated according to quantum-inspired strategies. A niching method is used to ensure every chromosome can converge to its corresponding local minimum in the optimization process. A parallel archive system is adopted to monitor the chromosomes on-line and save all potential feasible solutions in the optimization process. An adaptive search strategy is used to gradually adjust the search domain of each niche to finally approach the local minima. The solutions found by the QGA are compared with some other Multimodal Optimization (MO) algorithms and are tested on the FCS of the Boeing 747 to demonstrate the effectiveness of the proposed algorithm.     

Thermal–structure coupling analysis and multi-objective optimization of motor rotor in MSPMSM

With the high speed, the rotor of magnetically suspended permanent magnet synchronous motor(MSPMSM) suffers great thermal stress and mechanical stress resulting from the temperature rise problem caused by rotor losses, which leads to instability and inefficiency.In this paper, the mechanical–temperature field coupling analysis is conducted to analyze the relationship between the temperature field and structure, and multi-objective optimization of a rotor is performed to improve the design reliability and efficiency. Firstly, the temperature field is calculated by the 2 D finite element model of MSPMSM and the method of applying the 2 D temperature result to the 3 D finite element model of the motor rotor equivalently is proposed. Then the thermal–structure coupling analysis is processed through mathematic method and finite element method(FEM),in which the 3 D finite element model is established precisely in a way and approaches the practical operation state further. Moreover, the impact produced by the temperature and structure on the mechanical strength is analyzed in detail. Finally, the optimization mathematical model of the motor rotor is established with Sequential Quadratic Programming-NLPQL selected in the optimization scheme. Through optimization, the strength of the components in the motor rotor increases obviously and satisfies the design requirement, which to a great extend enhances the service life of the MSPMSM rotor.     

导弹控制系统的随机混合自适应方案研究

本文提出了一种新的适用于战术导弹控制系统的随机系统控制方案——最小方差混合自校正控制。在这种方案中,具有随机干扰噪声的控制对象保持连续时间状态,而控制参数的估计和调整是离散的,控制规律则是连续和离散变量的混合,整个系统为混合随机系统。由于这类系统具有连续系统和离散系统二者的优点,因而是一种很有前途的控制系统。文中介绍了这种控制方案的基本原理,并以地空导弹自动驾驶仪作为例子进行了数字仿真。仿真结果表明,这种混合自适应方案的跟踪性能优于相类似的全离散自适应方案。当系统阻尼较小时,即在导弹飞行的高空段,这一优点显得尤为突出。     

利用线性独立方向的有限储存BFGS法(英文)

提出了线性独立度的概念 ,并在此基础上建立了一个改进的有限储存 BFGS法。该方法继承了标准有限储存 BFGS法的基本特征 ,即储存 m个向量对计算逆二阶近似阵 ,并选择 m个向量对的准则是根据保留的搜索方向的数值线性独立度来确立的。文中进一步讨论了数值线性独立理论 ,并简化了新方法中线性独立度的计算。理论和数值结果表明 ,改进的新方法有效地改善了标准的有限储存法     

关于教学计划优化问题的探讨

在教育教学改革过程中，教学计划的整体优化尤为重要。我院在九六级本科教学计划制订时，做了大胆的尝试。本文从按专业大类组织教学、加强实践环节、注重素质教育和能力培养及课程体系的改革等方面就教学计划的整体优化进行了有益的探索，取得了阶段性成果。