复合材料参数化桨叶的动力学减振优化设计

为了进行桨叶动力学优化设计,建立面向工程设计的复合材料多闭室C型梁桨叶剖面参数化模型,实现了桨叶剖面气动外形、内部结构组件、复合材料铺层设计的参数化,并提出了一种保持C型梁纤维面积恒定的参数化设计方法.采用全局寻优能力较强的多种群遗传算法(MPGA),集成参数化设计模型与旋翼有限元气动弹性综合分析模型,通过桨叶各剖面结构组件的参数优化实现了旋翼动力学减振.算例给出了"海豚"直升机桨叶剖面特性实测值与参数化桨叶模型计算值的对比,整体误差不超过3%,并用该参数化模型对桨叶进行动力学减振优化,实现了旋翼加权优化振动载荷系数减小4.15%,经过优化后桨叶的配重位置更加分散,有利于缓解桨叶内部应力/应变突变;而且部分配重分配到桨尖,提高了旋翼的自转惯量,增加了旋翼自转下滑的安全性.     

Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time

Servicing is applied periodically in practice with the aim of restoring the system state and prolonging the lifetime. It is generally seen as an imperfect maintenance action which has a chief influence on the maintenance strategy. In order to model the maintenance effect of servicing, this study analyzes the deterioration characteristics of system under scheduled servicing. And then the deterioration model is established from the failure mechanism by compound Poisson process. On the basis of the system damage value and failure mechanism, the failure rate refresh factor is proposed to describe the maintenance effect of servicing. A maintenance strategy is developed which combines the benefits of scheduled servicing and preventive maintenance. Then the optimization model is given to determine the optimal servicing period and preventive maintenance time, with an objective to minimize the system expected life-cycle cost per unit time and a constraint on system survival probability for the duration of mission time. Subject to mission time, it can control the ability of accomplishing the mission at any time so as to ensure the high dependability. An example of water pump rotor relating to scheduled servicing is introduced to illustrate the failure rate refresh factor and the proposed maintenance strategy. Compared with traditional methods, the numerical results show that the failure rate refresh factor can describe the maintenance effect of servicing more intuitively and objectively. It also demonstrates that this maintenance strategy can prolong the lifetime, reduce the total lifetime maintenance cost and guarantee the dependability of system.     

Intelligent modeling and identification of aircraft nonlinear flight

In this paper, a new approach has been proposed to identify and model the dynamics of a highly maneuverable fighter aircraft through artificial neural networks（ANNs）. In general, aircraft flight dynamics is considered as a nonlinear and coupled system whose modeling through ANNs, unlike classical approaches, does not require any aerodynamic or propulsion information and a few flight test data seem sufficient. In this study, for identification and modeling of the aircraft dynamics, two known structures of internal and external recurrent neural networks（RNNs） and a proposed structure called hybrid combined recurrent neural network have been used and compared.In order to improve the training process, an appropriate evolutionary method has been applied to simultaneously train and optimize the parameters of ANNs. In this research, it has been shown that six ANNs each with three inputs and one output, trained by flight test data, can model the dynamic behavior of the highly maneuverable aircraft with acceptable accuracy and without any priori knowledge about the system.     

Recent advance in nonlinear aeroelastic analysis and control of the aircraft

A review on the recent advance in nonlinear aeroelasticity of the aircraft is presented in this paper. The nonlinear aeroelastic problems are divided into three types based on different research objects, namely the two dimensional airfoil, the wing, and the full aircraft. Different non- linearities encountered in aeroelastic systems are discussed firstly, where the emphases is placed on new nonlinear model to describe tested nonlinear relationship. Research techniques, especially new theoretical methods and aeroelastic flutter control methods are investigated in detail. The route to chaos and the cause of chaotic motion of two-dimensional aeroelastic system are summarized. Var- ious structural modeling methods for the high-aspect-ratio wing with geometric nonlinearity are dis- cussed. Accordingly, aerodynamic modeling approaches have been developed for the aeroelastic modeling of nonlinear high-aspect-ratio wings. Nonlinear aeroelasticity about high-altitude long- endurance （HALE） and fight aircrafts are studied separately. Finally, conclusions and the chal- lenges of the development in nonlinear aeroelasticity are concluded. Nonlinear aeroelastic problems of morphing wing, energy harvesting, and flapping aircrafts are proposed as new directions in the future.     

基于改进的混合粒子群算法的变循环发动机模型求解

为了降低变循环发动机模型求解时对初始值的依赖性,提升算法的全局收敛性,同时提高模型求解的效率,提出了一种基于改进的混合粒子群算法的变循环发动机模型求解思路。首先建立了变循环发动机的部件级模型,并建立了发动机的共同工作方程组;然后采用Broyden法对牛顿-拉夫森算法中的雅可比矩阵进行更新计算,在经典粒子群算法的基础上引入粒子中心,作为干扰项,并引入限制因子和自适应时变惯性系数;最后,综合了两种改进的算法,提出改进的混合粒子群算法。实验结果表明:该算法不仅继承了牛顿-拉夫森算法的高计算效率,还吸收了改进的粒子群算法的全局收敛优点,可实现模型大范围收敛。     

第9届中国系统建模与仿真论坛征文通知

各有关单位：为促进我国建模与仿真技术交流,加快推动我国仿真产业发展和科技成果转化;加速国防科技工业技术升级和现代化进程,更好地促进国防军工领域虚拟制造仿真技术的研究与应用。在论坛成功举办8届的基础上,中国计算机用户协会仿真应用分会、中国指挥与控制学会建模与仿真专业委员会和中国自动化学会系统仿真专业委员会联合举办主题为“创新驱动发展：大数据时代的建模与仿真”第9届中国系统建模与仿真技术高层论坛将于2014年11月在北京举行。     

飞机机翼结构三维几何模型快速建模方法研究

针对目前航空企业普遍采用CATIA软件进行设计的现状,本课题对机翼结构几何模型的快速建模技术进行了研究,结合参数化建模方法,在CATIA软件平台开发了机翼结构快速建模系统。     

基于元胞自动机的民机应急撤离仿真系统设计

介绍了一种基于元胞自动机求解民机应急撤离问题的方法,提出了民机应急撤离仿真系统设计的总体思路.在此基础上,按照人一机一环境系统工程的思想设计了层次化的体系结构和相应的功能模块,分析了系统设计过程中涉及的关键技术及其实现方法.最后开发了面向对象的民机应急撤离仿真系统,并通过典型的客舱布置方案进行了计算验证,结果表明设计的...     

月表无线电波传播建模与仿真

由于月球曲率的影响,月表无线电波的传播需要考虑传播路径上的月面反射多径损耗和障碍物绕射损耗.根据惠更斯-费涅尔原理,文章针对月球曲率较大等特征,分别采用标准多径干涉和绕射算法及SEKE算法,对月面反射多径干涉、障碍物绕射等基本模型的应用判据进行研究,建立了基于以上两种算法的沿光滑月表的电波传播模型,并通过仿真算例对两种...     

无人机前开伞式降落过程动力学建模与仿真

文章分析了某型无人机降落伞回收阶段的动力学过程,对各工作阶段的无人机和降落伞的组合体进行了数学建模,使用Matlab软件中的Simulink组件搭建了无人机伞降过程的仿真模型,按照真实飞行和回收工况进行了计算,通过仿真结果与试验数据的比较,验证了模型的正确性.