基于齿数的渐开线直齿轮参数化建模

介绍了在UG环境下渐开线直齿轮参数化建模的方法,分析了不同齿数范围对建模过程的影响,并依据分析结果建立了渐开线直齿轮的两个精确模型,利用这两个模型通过修改参数列表能快捷得到满足任意参数要求的渐开线直齿轮的三维模型。     

基于解析及特征造型的涡轮冷却叶片参数化设计

基于数学解析与特征造型技术相结合的方法,建立了基于构造过程的复杂涡轮冷却叶片的参数化设计技术。用五次多项式描述叶身型线,根据壁面厚度函数求解冷却通道外形,定义冷却通道隔板位置及厚度等参数,计算得到叶身及冷却通道各截面造型数据;以特征造型方法完成对涡轮冷却叶片转弯流道、缘板、榫头及叶片相关特征的参数化设计;利用CAD系统的二次开发接口,实现了多腔回流式涡轮冷却叶片的自动建模。     

金属弹簧管性能影响因素的仿真分析

为了研究高温密封组件金属弹簧性能,本文通过对波音公司编网状弹簧管结构和Streck心脏支架结构的研究,建立了编织弹簧的几何拓扑构型和数学模型,推导了弹簧直径计算公式。采用AUTODESK3D-MAX构建了编织弹簧的仿真模型,用ANSYS仿真软件分别从编织丝直径、编织密度以及编织方法 3方面探究不同测试对弹簧性能的影响。结果表明,增加弹簧丝直径、降低弹簧管轴向方向的编织密度、提高圆周方向的编织密度、向外的弹簧管编织方式可有效提高弹簧管的回弹性能。     

半球谐振陀螺全角模式控制技术研究

介绍了半球谐振陀螺全角模式的工作机理及其技术特点。对全角模式下振型的控制进行了理论分析,采用乘法相干解调对陀螺振型参数进行提取,并采用参数激励方法对谐振子进行驱动和控制。设计了数字电路进行实验,结果表明该全角模式控制技术实现了半球谐振陀螺的角速率积分功能,能够0°～360°全角度敏感输出,测得的角速度测量值超过300(°)/s,角度测量线性度优于10~(-4),与传统的力平衡模式相比,半球谐振陀螺的动态特性得到大幅提升。     

谱估计理论在弹道数据参数化建模中的应用

针对高超声速飞行器防御作战中目标运动规律的描述问题,提出一种基于经典和现代谱估计理论的弹道数据参数化分析和建模方法。该方法将弹道数据视作非平稳随机信号,研究其变化规律：首先,通过线性消势法消除信号的线性趋势,将其转变为平稳信号,以便于进行谱估计;然后,采用Welch算法给出大致的谱图,结合该谱图和改进的协方差法确定自回归参数模型的阶数,以避免模型阶数选择准则引起的不确定性问题;最终,给出弹道数据的参数化模型。仿真结果表明,使用本文算法建立的弹道数据参数化模型与动力学模型具有较高的一 致性。     

A practical nonlinear robust control approach of electro-hydraulic load simulator

This paper studies a nonlinear robust control algorithm of the electro-hydraulic load simulator （EHLS）. The tracking performance of the EHLS is mainly limited by the actuator＇s motion disturbance, flow nonlinearity, and friction, etc. The developed controller is developed based on the nonlinear motion loading model. The problems of the actuator＇s disturbance and flow nonlinearity are considered. To address the friction problem, the friction model of the loading motor is identified experimentally. The friction disturbance is compensated using the obtained friction model. Therefore, this paper considers the main three factors comprehensively. The developed algorithm is easy to apply since the controller can be obtained just with one step back-stepping design. The stability of the developed algorithm is proven via Lyapunov analysis. Both co-simulation and experiments are performed to verify the effectiveness of this method.     

Parametric analyses for synthetic jet control on separation and stall over rotor airfoil

Numerical simulations are performed to investigate the effects of synthetic jet control on separation and stall over rotor airfoils. The preconditioned and unsteady Reynolds-averaged Navier–Stokes equations coupled with a k x shear stream transport turbulence model are employed to accomplish the flowfield simulation of rotor airfoils under jet control. Additionally,a velocity boundary condition modeled by a sinusoidal function is developed to fulfill the perturbation effect of periodic jets. The validity of the present CFD procedure is evaluated by the simulated results of an isolated synthetic jet and the jet control case for airfoil NACA0015. Then, parametric analyses are conducted specifically for an OA213 rotor airfoil to investigate the effects of jet parameters(forcing frequency, jet location and momentum coefficient, jet direction, and distribution of jet arrays) on the control effect of the aerodynamic characteristics of a rotor airfoil. Preliminary results indicate that the efficiency of jet control can be improved with specific frequencies(the best lift-drag ratio at F+= 2.0) and jet angles(40 or 75) when the jets are located near the separation point of the rotor airfoil. Furthermore, as a result of a suitable combination of jet arrays, the lift coefficient of the airfoil can be improved by nearly 100%, and the corresponding drag coefficient decreased by26.5% in comparison with the single point control case.     

Reliability-based trajectory optimization using nonintrusive polynomial chaos for Mars entry mission

This paper presents the reliability-based sequential optimization (RBSO) method to settle the trajectory optimization problem with parametric uncertainties in entry dynamics for Mars entry mission. First, the deterministic entry trajectory optimization model is reviewed, and then the reliability-based optimization model is formulated. In addition, the modified sequential optimization method, in which the nonintrusive polynomial chaos expansion (PCE) method and the most probable point (MPP) searching method are employed, is proposed to solve the reliability-based optimization problem efficiently. The nonintrusive PCE method contributes to the transformation between the stochastic optimization (SO) and the deterministic optimization (DO) and to the approximation of trajectory solution efficiently. The MPP method, which is used for assessing the reliability of constraints satisfaction only up to the necessary level, is employed to further improve the computational efficiency. The cycle including SO, reliability assessment and constraints update is repeated in the RBSO until the reliability requirements of constraints satisfaction are satisfied. Finally, the RBSO is compared with the traditional DO and the traditional sequential optimization based on Monte Carlo (MC) simulation in a specific Mars entry mission to demonstrate the effectiveness and the efficiency of the proposed method.     

Dynamic parametric modeling-based model updating strategy of aeroengine casings

For accurate Finite Element (FE) modeling for the structural dynamics of aeroengine casings, Parametric Modeling-based Model Updating Strategy (PM-MUS) is proposed based on efficient FE parametric modeling and model updating techniques regarding uncorrelated/correlated mode shapes. Casings structure is parametrically modeled by simplifying initial structural FE model and equivalently simulating mechanical characteristics. Uncorrelated modes between FE model and experiment are reasonably handled by adopting an objective function to recognize correct correlated modes pairs. The parametrized FE model is updated to effectively describe structural dynamic characteristics in respect of testing data. The model updating technology is firstly validated by the detailed FE model updating of one fixed–fixed beam structure in light of correlated/uncorrelated mode shapes and measured mode data. The PM-MUS is applied to the FE parametrized model updating of an aeroengine stator system (casings) which is constructed by the proposed parametric modeling approach. As revealed in this study, (A) the updated models by the proposed updating strategy and dynamic test data is accurate, and (B) the uncorrelated modes like close modes can be effectively handled and precisely identify the FE model mode associated the corresponding experimental mode, and (C) parametric modeling can enhance the dynamic modeling updating of complex structure in the accuracy of mode matching. The efforts of this study provide an efficient dynamic model updating strategy (PM-MUS) for aeroengine casings by parametric modeling and experimental test data regarding uncorrelated modes.     

不确定混沌系统的变论域直接自适应模糊滑模控制

提出了一种用于不确定混沌系统的变论域自学习模糊滑模控制方法.引入变论域自适应模糊控制器逼近滑模控制的等效控制,消除因系统不确定性及干扰导致的等效控制无法准确确定,同时使控制器设计不依赖被控对象的精确数学模型.基于李雅普诺夫函数给出规则参数调整的自适应率,并确定滑模切换控制项以保证闭环控制系统的稳定性.根据滑模控制原理给出4条模糊规则以平滑不连续控制,实现高烦抖振削弱.某Lorenz混沌系统控制仿真结果表明:该法对系统参数突变和外部干扰具强鲁棒性,同时削弱了抖振.