任务规划系统机动模型与航线设计

航空兵任务规划系统中飞机空对地攻击航线解算的准确性、航线生成质量和航线解算速度是衡量任务规划系统能力的重要指标。飞机空对地攻击航线设计是飞机航线规划中典型的多约束复杂机动,其在设计与使用过程中受到来自时间、空间及飞机本体的多维约束,对飞行动力学建模与航迹优化提出了较高的要求。本文利用面向对象的思想对飞机无侧滑动力学模型进行建模,通过航线机动动作拼接、分段优化的方式实现复杂机动过程的设计与优化,并进行仿真分析。结果表明：该航线优化设计能够实现飞机多约束航迹设计与规划功能,迭代优化算法具有较好的收敛性,可满足航空兵任务规划使用要求。     

航空发动机高压转子试验模型的动力学相似设计

为了获得能够替代航空发动机转子原型进行动力学试验的模型，提出了发动机转子系统试验模型的动力学相似设计方法。采用相似理论推导了转子系统缩比模型的动力学相似准则，继而建立缩比模型与原型的动力学相似关系。通过动力学优化方法对转子缩比模型的动力学等效模型进行修正，目标函数由固有频率、临界转速和振型组成。以双转子发动机高压转子系统的动力学相似设计为例，通过有限元仿真对设计方法的有效性进行了验证。结果表明，在设计转速范围内，动力学相似模型与原型的前两阶临界转速相似误差分别为3.92%和0.86%，对应振型的相关性均大于0.98，且模型与原型的模态应变能分布基本一致。通过该方法获得的动力学相似模型能够较好地预测原型的动力学特性，并有效降低模型试验的成本和难度。     

概率有限状态机在动态效能评估中的应用

为了反映作战过程中实时战场变化对武器作战效能的影响，本文对武器作战动态效能评估(DEE)方法进行研究，提出一种基于概率有限状态机(PFSM)的动态效能评估方法。利用该方法对武器作战过程进行动态效能评估的同时，能够快速准确地分析影响武器作战效能的关键因素，为作战方案决策及武器研发提供依据。该方法考虑了武器装备、战场环境、作战方案及作战目标这四个战场信息空间对武器效能的影响，能够根据实时战场信息输出动态效能变化曲线。本文以反舰导弹为例，对其进行动态效能评估，结果表明,本文所提出的方法能够动态评估不同战场信息对效能的影响，并快速找到影响其效能的关键因素，从而为作战方案优化提供参考。     

改进模拟退火算法的喷管动力学模型修正

为获得液体火箭发动机喷管高精度的结构动力学有限元模型，提出一种基于改进模拟退火算法（Improved Simulation Annealing Algorithm，ISAA）的有限元模型修正方法。首先，将复杂的薄壁夹层板喷管等效为复合材料层合壳，建立喷管的参数化有限元模型；在此基础上，以结构模态参数为参考基，构造出联合使用模态频率及模态振型的目标函数，并运用灵敏度分析提取设计变量，从而建立其优化模型；提出带记忆、局部搜索功能的改进模拟退火算法，运用ISAA在设计空间进行多目标全局寻优；最后，采用基于MSC Patran/Nastran软件平台二次开发的结构动力学模型修正软件ZDXZ V1.0进行模型修正，并对模型修正方法的有效性进行了校验。结果表明，修正后喷管的前3阶计算模态频率与试验值相对误差小于2%，振型相关性最小MAC值大于0.9，大大提升了喷管模型的动力学符合性，模型精度满足工程应用要求；表明所述模型修正策略的有效性，该方法具有高效、强鲁棒性等特点，适合于大型复杂结构的模型修正。     

Best practices for model-based and simulation-aided engineering of power transmission and motion control systems

This paper deals with the modelling and simulation of aircraft systems, in particular for power transmission and control. It is intended to review, propose and disseminate best practices for making model-based/simulation-aided engineering more efficient at any phase of the system life cycle. The proposals are aimed at creating value, not only by increasing the performance of the product under study but also by shortening the time to market, capitalizing knowledge, mitigating risks and facilitating concurrent engineering. The needs associated with the engineering activities are firstly identified to define a set of requirements for the models. Then, these requirements are used to drive the considerations leading to model development, focusing in particular on the process, modelled physical effects, modelling level, model architecting and concurrent engineering. The third part deals with the model implementation, giving special consideration to the different types of models, causalities, parameterization, implementation and verification. Each part is illustrated by examples related to safety critical actuators.     

Non-intrusive reduced-order model for predicting transonic flow with varying geometries

A Non-Intrusive Reduced-Order Model (NIROM) based on Proper Orthogonal Decomposition (POD) has been proposed for predicting the flow fields of transonic airfoils with geometry parameters. To provide a better reduced-order subspace to approximate the real flow field, a domain decomposition method has been used to separate the hard-to-predict regions from the full field and POD has been adopted in the regions individually. An Artificial Neural Network (ANN) has replaced the Radial Basis Function (RBF) to interpolate the coefficients of the POD modes, aiming at improving the approximation accuracy of the NIROM for non-samples. When predicting the flow fields of transonic airfoils, the proposed NIROM has demonstrated a high performance.     

Reliability estimation of mechanical seals based on bivariate dependence analysis and considering model uncertainty

The reliability estimation of mechanical seals is of crucial importance due to their wide applications in pumps in various mechanical systems. Failure of mechanical seals might cause leakage, and might lead to system failure and other relevant consequences. In this study, the reliability estimation for mechanical seals based on bivariate dependence analysis and considering model uncertainty is proposed. The friction torque and leakage rate are two degradation performance indicators of mechanical seals that can be described by the Wiener process, Gamma process, and inverse Gaussian process. The dependence between the two indicators can be described by different copula functions. Then the model uncertainty is considered in the reliability estimation using the Bayesian Model Average (BMA) method, while the unknown parameters in the model are estimated by Bayesian Markov Chain Monte Carlo (MCMC) method. A numerical simulation study and fatigue crack study are conducted to demonstrate the effectiveness of the BMA method to capture model uncertainty. A degradation test of mechanical seals is conducted to verify the proposed model. The optimal stochastic process models for two performance indicators and copula function are determined based on the degradation data. The results show the necessity of using the BMA method in degradation modeling.     

卫星结构基础加速度激励及界面力识别试验研究

针对某卫星结构模型,开展基于实测卫星结构加速度的卫星基础激励和星-箭连接界面动载荷反演试验研究.首先,根据卫星结构和试验条件,设计了用于测量星-箭界面传递载荷的工装;其次,基于卫星结构模态试验和有限元模型修正技术,获取了卫星结构的高保真有限元模型;进一步,开展基础激励下的卫星结构模型振动试验,利用动载荷识别技术获取振动...     

星载LVDS电路匹配性设计研究

LVDS电路具备抗共模干扰的能力,以及适应高速信号传输等优点,近年来广泛地应用于卫星有效载荷数据传输;而LVDS器件对线缆的匹配性要求较高.文章在介绍LVDS接口电路的基础上,通过LVDS电路在卫星有效载荷中的工程应用,总结了星载LVDS电路匹配性设计的一些经验.