混合遗传算法在气动弹性多学科优化中的应用

利用遗传/敏度混合优化算法对复合材料前掠翼飞机进行气动弹性剪裁设计研究.在满足强度、位移、升力效率、副翼效率、发散速度和颤振速度等约束条件的前提下,以机翼复合材料蒙皮铺层的厚度为设计变量,对蒙皮进行重量最小化设计.研究表明,在飞机结构初步设计阶段单纯使用基于敏度的优化算法,很难满足设计上的要求;使用遗传/敏度混合优化算法可以取得较好的结果,该方法适用于飞机结构初步设计.还研究了偏轴角对优化重量的影响.分析结果显示,对于文中所研究的这类蒙皮使用由0°、90°和±45°纤维组成的铺层的复合材料前掠翼飞机,在满足多个约束条件的前提下,其优化重量对于偏轴角的变化相对不敏感.      

JCVM解析优化设计与实现

针对传统的JCVM(Java Card Virtual Machine)解析过程复杂、指令执行速度慢的问题,依照JCVM特殊的卡内、卡外虚拟机相结合的设计思想,提出了分离式的解析优化方案;分别建立了卡外执行的静态绑定解析过程和卡内执行的动态绑定解析过程,并构建了用于传递中间结果的伪指令集.性能测试结果表明,该方法减少了卡内代码量,缩短了指令执行时间,提高了JCVM的整体性能.      

多目标优化方法库的开发与应用

多目标优化方法库是一个专门针对多目标问题的优化软件。本文介绍了用面向对象方法对方法库进行开发的过程,着重说明了该软件以优化模型为中心的主体框架和以优化算法为核心的模块化结构,以及库中采用的各种多目标优化算法特别是非劣分层遗传算法。最后通过算例说明了方法库的使用方法,证明了其良好的操作性和库中算法优良的性能。     

发动机生产加工中质量控制界限的优化

以两类错误损失费用最小为目标,对现行发动机零组件加工质量控制中以x±3σ作为控制图控制界限的方法进行了改进,建立了确定最佳控制界限(Kσ)的数学模型与最优控制界限(K)的算式。通过实例对优化结果和现行“x±3σ”方法的结果进行了比较和分析,进一步说明了该方法的优越性。     

一类中立型高维周期微分系统的周期解

文中利用指数型二分法,结合不动点定理考虑如下形式的中立型高维周期系统: 苦d/dt[x(t)+cx1]=A(t,x(t))x(t)+f(t,x1),得到其T-周期解存在的充分性条件,所得结论改进或推广了早先文献中周期解存在的相应结论。     

重力梯度稳定小卫星的最优主动磁控和动量轮控制

为了提高小卫星定点精度,姿态控制系统采用俯仰轴动量轮控制和三轴磁力矩控制。用四元数方法建立起卫星动力学方程和运动学方程。以响应时间和响应时间内欧拉角误差和角速率误差的平方和这两个单目标作为目标函数,以三轴的位置增益、速率增益和卸载增益为设计变量,以三轴欧极子矩不超过要求值,俯仰轴的轮动量矩不超过要求值,以及末尾响应时间内应保证欧拉角和角速率逼近控制值为约束条件,建立起卫星最优控制模型。最后,作为例子应用到小卫星姿态控制中,结果证实最优控制算法是可行有效的。与传统PD控制相比,优化后的姿态控制性能也大大提高。     

应用基于FEM的预成形最优化方法提高锻件变形均匀性

锻件变形分布不均匀将导致锻件各部位的组织和性能产生很大差异。应用基于正向有限元数值模拟和最优化方法进行坯料预成形设计的新方法,可显著提高锻件各部位的变形均匀性。首先介绍了以提高锻件变形分布均匀性为目的的坯料预成形最优化方法的基本原理,并针对典型的IN718合金涡轮盘锻件进行了坯料预成形设计。给出了预成形坯料与普通圆柱坯料的对比结果,并进行了相应的试验验证。结果表明,应用这种方法对IN718合金涡轮盘锻件进行坯料预成形设计,可使盘锻件各部位变形均匀性明显改善。     

Cooperative formation control of multiple aerial vehicles based on guidance route in a complex task environment

In recent years, formation control of multi-agent has been a significant research subject in the field of cooperative control. However, previous works have mainly concentrated on formation control for simple point-mass model and linear model. In contrast, this paper presents a novel cooperative algorithm for multiple air vehicles formation control, which aims to devise a control strategy based on guidance route to achieve precisely coordinated formation control for a group of fixed-wing aircraft in a complex task environment. The proposed method introduces the leader-follower structure for effective organization of the multi-agent coordination. Moreover, the Partial Integrated Formation and Control (PIFC) is adopted to design the control law for Guidance-Route based Formation Control (GRFC). Additionally, the proposed approach designs two guidance-route generation strategies for two special situations to demonstrate the effectiveness of GRFC in complex task environments. Theoretical analysis reveals that the proposed control protocol for guidance command can ensure the overall stability and tracking accuracy of the system. Numerical simulations are performed to illustrate the theoretical results, and verify that the proposed approach can achieve coordinated formation control precisely in a complex task environment.     

Advanced optimization of gas turbine aero-engine transient performance using linkage-learning genetic algorithm: Part I,building blocks detection and optimization in runway

This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm (mGA) to optimize the Min-Max fuel controller performance in Gas Turbine Engine (GTE). For this purpose, a GTE fuel controller Simulink model based on the Min-Max selection strategy is firstly built. Then, the objective function that considers both performance indices (response time and fuel consumption) and penalty items (fluctuation, tracking error, overspeed and acceleration/deceleration) is established to quantify the controller performance. Next, the task to optimize the fuel controller is converted to find the optimization gains combination that could minimize the objective function while satisfying constraints and limitations. In order to reduce the optimization time and to avoid trapping in the local optimums, two kinds of building block detection methods including lower fitness value method and bigger fitness value change method are proposed to determine the most important bits which have more contribution on fitness value of the chromosomes. Then the procedures to apply LLGA in controller gains tuning are specified stepwise and the optimization results in runway condition are depicted subsequently. Finally, the comparison is made between the LLGA and the simple GA in GTE controller optimization to confirm the effectiveness of the proposed approach. The results show that the LLGA method can get better solution than simple GA within the same iterations or optimization time. The extension applications of the LLGA method in other flight conditions and the complete flight mission simulation will be carried out in part II.     

Hierarchical global search for fuel-optimal impulsive transfers between lunar libration orbits

The attention to the periodic orbit in the Earth-Moon restricted three-body system continues to grow due to its special environment and locations. This research investigates the feasibility of constructing fuel-optimal single and multiple impulse transfers between unstable periodic orbits at L₁ and L₂ points. Invariant manifolds, which could provide the appropriate initial trajectories for optimization, are analyzed deeply to enable previously unknown orbit options and potentially to reduce mission cost. A global search strategy based on comparing the orbital state of the unstable and stable manifolds, incorporated with low-thrust techniques, is performed to seek a suitable matching point for maneuver application. Then the sequential quadratic programming (SQP) is adopted to further optimize the velocity increment and obtain the single/multiple impulse optimal transfers. The associated constraint gradients are derived to achieve higher accuracy and rapidity of the algorithm. To highlight the effectivity of the transfer scheme, three-dimensional low-energy transfers between different types and spatial regions of performing single and multiple impulses are explored. The total Delta-V required varies between a few meters per second and tens of meters per second, and the related flight time is about several weeks, mainly depending on the energy of periodic orbits and the invariant manifold structure. The results obtained in this paper can provide a useful reference for the selection of escape and capture site along the manifolds, maneuver magnitude and transfer time.