战术火箭/固体火箭发动机一体化优化设计

在综合考虑发动机内弹道性能与火箭外弹道关系的情况下，融内外弹道为一体，系统分析了发动机装药参数，燃烧室设计参数、喷管设计参数、尾翼参数对发动机性能及全弹性能的影响，针对远程战术火箭，建立了火箭总体／固体火箭发动机一体化优化的模型。在所建模型基础上，以火箭弹总体性能最佳目标，对总体和发动机设计参数以及药柱几何参数同时进行优选，完成了九个变量的寻优计算，取得了满意结果。     

异步并行的分布式协同进化MDO算法研究

为满足分布式计算机网络环境下多学科并行设计优化协调的要求，研究了分布工协同进化MDO算法的网络异步并行实现，给出了异步并行的分布式同进化MDO算法。对导弹设计的计算实例，与单机上顺序执行的分布式协同进行MDO算法相比，异步并行的分布式协同进化MDO算法可有效缩短运行时间，而二者的收敛性能相当。算法基于CORBA/C 实现，灵活性、容错性好，便于在飞行器一体化设计环境中应用。     

地月低能转移轨道设计方法研究

研究地月低能转移轨道的设计方法。这种低能转移轨道利用了弱稳定边界理论，通过太阳的引力摄动，使得探测器能够不经过减速就被月球俘获。与经典的霍曼转移相比，低能转移轨道呵节省约140m／s的速度脉冲。由于设计是基于叫体问题模型进行的，问题具有很强的非线性特性，寻找满足约束条件的转移轨道变得非常困难。常用的两点边值问题的解法在这里都失效。本文在研究地月低能转移轨道特忡的基础上，对一般地月转移轨道搜索的变步长爬山法进行改进，用来设计地月低能转移轨道。仿真结果验证了该方法的有效性。     

人工神经网络在复合材料研究中的应用

人工神经网络技术广泛应用于复杂系统的建模中,已成为材料科学研究中常用的建模方法;介绍了BP神经网络及其建模的重要特征,综述了神经网络在复合材料性能预测、工艺设计与优化、损伤预测与检测等方面的研究情况.     

50Nms磁悬浮反作用飞轮转子优化设计方法的研究

介绍了一种额定工作转速为-5000rpm-5000rpm，额定角动量为50Nms的五自由度磁悬浮反作用飞轮。利用多学科设计优化软件iSIGHT及有限元分析软件ANSYS，通过序列二次规划法对飞轮转子进行了多学科设计优化研究：以转子质量为优化目标，以转子、静力学、共振频率、转子动力学、角动量、几何尺寸等多学科要求同时作为约束条件进行了优化设计。结果表明，通过多学科设计优化，在满足设计要求的同时，使转子重量达到了最小化（4．09kg），提高了设计效率和设计质量，在航天器姿态控制系统的设计中具有现实意义。     

一种小推力轨迹优化的改进方法

针对小推力轨迹优化这一难点和热点问题,提出了一种在直接法的基础上进一步提高优化结果的改进方法。分析了直接法在离散后存在求解维度较高的不足,借鉴了间接法推导出的最优解必要条件,提出了推力仅取最大值或零的取值改进方法。通过多次优化计算,根据产生速度增量需要的能量来确定推力和追击时间的取值范围,缩减了直接法的求解维度。最后进行了数值仿真,改进方法计算得到的优化指标高于直接法结果,表明该改进方法优于直接法。     

Whole-process design and experimental validation of landing gear lower drag stay with global/local linked driven optimization strategy

Landing gear lower drag stay is a key component which connects fuselage and landing gear and directly effects the safety and performance of aircraft takeoff and landing. To effectively design the lower drag stay and reduce the weight of landing gear, Global/local Linked Driven Optimization Strategy (GLDOS) was developed to conduct the overall process design of lower drag stay in respect of optimization thought. The whole-process optimization involves two stages of structural conceptual design and detailed design. In the structural conceptual design, the landing gear lower drag stay was globally topologically optimized by adopting multiple starting points algorithm. In the detailed design, the local size and shape of landing gear lower drag stay were globally optimized by the gradient optimization strategy. The GLDOS method adopts different optimization strategies for different optimization stages to acquire the optimum design effect. Through the experimental validation, the weight of the optimized lower dray stay with the developed GLDOS is reduced by 16.79% while keeping enough strength and stiffness, which satisfies the requirements of engineering design under the typical loading conditions. The proposed GLDOS is validated to be accurate and efficient in optimization scheme and design cycles. The efforts of this paper provide a whole-process optimization approach regarding different optimization technologies in different design phases, which is significant in reducing structural weight and enhance design precision for complex structures in aircrafts.     

Comprehensive optimization design of aerodynamic and electromagnetic scattering characteristics of serpentine nozzle

Comprehensive optimization design of serpentine nozzle with trapezoidal outlet was studied to improve its aerodynamic and electromagnetic scattering performance. Serpentine nozzles with different center offsets and different ratios of the bases of the trapezoidal outlet were generated based on curvature control regulation. Computational Fluid Dynamics (CFD) simulations have been conducted to obtain the flow field in the nozzle, and Forward-Backward Iterative Physical Optics (FBIPO) method was applied to study the electromagnetic scattering characteristics of the nozzle. Guarantee Convergence Particle Swarm Optimization (GCPSO) algorithm based on Radial Basis Function (RBF) neural network was used to optimize the geometry of the nozzle in consideration of its aerodynamic and electromagnetic scattering characteristics. The results show that the GCPSO method based on RBF can be used to optimize the aerodynamic characteristics of the internal flow and the scattering characteristics of the cavity of the serpentine nozzle with irregular outlet. The optimized model has a higher center offset and a lower ratio of the bases of the trapezoidal outlet after optimization compared to the original model. The optimized model leads to a slight change in aerodynamic performance, with a total pressure recovery coefficient increase of 0.31% and a discharge coefficient increase of 0.41%. In addition, the Radar Cross Section (RCS) decreases also by around 83.33% and the overall performance is significantly improved, with a decrease of the optimized objective function by around 38.74%.     

Optimization design of satellite separation systems based on Multi-Island Genetic Algorithm

The separation systems are crucial for the launch of satellites. With respect to the existing design issues of satellite separation systems, an optimization design approach based on Multi-Island Genetic Algorithm is proposed, and a hierarchical optimization of system mass and separation angular velocity is designed. Multi-Island Genetic Algorithm is studied for the problem and the optimization parameters are discussed. Dynamic analysis of ADAMS used to validate the designs is integrated with iSIGHT. Then the optimization method is employed for a typical problem using the helical compression spring mechanism, and the corresponding objective functions are derived. It turns out that the mass of compression spring catapult is decreased by 30.7% after optimization and the angular velocity can be minimized considering spring stiffness errors. Moreover, ground tests and on-orbit flight indicate that the error of separation speed is controlled within 1% and the angular velocity is reduced by nearly 90%, which proves the design result and the optimization approach.     

基于粒子群算法的切削参数优化及其约束处理

切削参数优化问题通常是多约束、非线性的,通过对其目标函数进行分析,发现这类问题的最优解通常位于可行域边界上.针对该问题的求解,在约束处理方法上引入了非固定多段映射罚函数法和半可行域概念,并考虑到绝对半可行域宽度导致的不同约束条件难以同步得到满足问题,提出了相对半可行域设置方法,即将半可行域宽度与各约束许用值的相对误差相对应,应用于粒子群算法实现了切削参数优化,并通过实例计算对所提出的方法进行了验证.