弹性支承下的双半内圈角接触球轴承振动分析

针对弹性支承下的双半内圈角接触球轴承,考虑弹性支承体与轴承外圈、轴承座之间的刚柔耦合特性,建立了弹性支承下的双半内圈角接触球轴承非线性动力学微分方程.采用精细积分法和预估-校正Adams-Bashforth-Moulton多步法相结合的算法,对非线性动力学微分方程进行求解,并对弹性体支承的双半内圈角接触球轴承振动特性进行了理论分析.分析结果表明:①通过增加支承体过渡沟槽个数可大幅度降低内圈振幅;套筒环厚度对轴承振幅影响相对较小,随着套筒环厚度的增加,内圈振幅先减小后增大;②轴向力较小时,采用过渡沟槽个数多的支承体能够降低振动幅值;轴向力较大时,适当减少过渡沟槽个数,有利于系统稳定;③存在一个最佳的过渡沟槽个数和套筒环厚度,使得轴承径向振动幅值达到最小.      

超声速气流下黏弹性夹层壁板非线性颤振分析

基于Kelvin-Voigt黏弹性本构模型、von-Karmen薄板大变形理论和三阶气动力活塞理论建立了三维黏弹性夹层壁板的气动弹性颤振方程。使用Galerkin截断方法,对超声速气流下,四边简支黏弹性夹层壁板颤振的非线性特性进行了研究。对于非线性一阶截断方程,研究了它的平衡点及稳定性随来流速度的变化情况,得到了系统发生静态分叉时的临界速度;对于非线性二阶截断方程,使用数值仿真分析方法,得到了系统发生Hopf分叉时的临界速度,并利用响应、相图等手段研究得到黏弹性夹层板随来流速度变化的动力学特性。     

非线性谐波法在双级对转压气机中的进一步校检

以双级对转压气机为研究对象,在与试验结果及常规非定常方法对比的基础上,对新型非定常模拟方法——非线性谐波法(NHM)进行了时域和频域中的校检分析,探索其相比常规非定常方法的适用性.研究结果表明:非线性谐波法在设计工况下能够较为可靠地模拟确定应力的大小及其分布规律,具有较高的建模精度.对于近失速状态,由于流场中的固有周期性被破坏,导致非线性谐波法在该工况下不再适用,其与常规非定常模拟结果存在明显差异.      

基于ITD和STD的液体火箭发动机模态参数辨识方法

在液体火箭发动机模态参数辨识领域,频域法仍是模态分析的主流方法,但该方法存在诸如功率泄露、频率混叠和离线分析等不足。本研究将基于时域识别的ITD法和STD法应用到液体火箭发动机模态参数辨识领域。由于这两种算法的基础是线性系统,利用Hilbert变换的方法,验证该发动机具有线性系统特征。与频域法对比的结果表明,该方法具有较高识别精度,且只使用实测响应信号,使用设备简单,因而可以在线分析,为发动机在工作环境下的参数识别奠定了基础。     

非线性热传导逆问题的表面热流辨识方法

当材料的热物性参数随温度变化时,其内部的热传导方程是一非线性偏微分方程,对应的热传导逆问题称为非线性热传导逆问题。本文建立了非线性热传导逆问题的两种表面热流辨识方法:顺序函数法和共轭梯度法,介绍了这两种辨识方法的基本思想和具体算法推导,并针对典型算例进行了仿真辨识,结果表明:两种辨识方法虽然在算法构造、计算效率方面存在一定的差异,但都能给出较好的辨识结果,并且算法受测量噪声的影响较小,具有较好的鲁棒性。     

Robust Control for Static Loading of Electro-hydraulic Load Simulator with Friction Compensation

Load simulator is a key test equipment for aircraft actuation systems in hardware-in-the-loop-simulation. Static loading is an essential function of the load simulator and widely used in the static/dynamic stiffness test of aircraft actuation systems. The tracking performance of the static loading is studied in this paper. Firstly, the nonlinear mathematical models of the hydraulic load simulator are derived, and the feedback linearization method is employed to construct a feed-forward controller to improve the force tracking performance. Considering the effect of the friction, a LuGre model based friction compensation is synthesized, in which the unmeasurable state is estimated by a dual state observer via a controlled learning mechanism to guarantee that the estimation is bounded. The modeling errors are attenuated by a well-designed robust controller with a control accuracy measured by a design parameter. Employing the dual state observer is to capture the different effects of the unmeasured state and hence can improve the friction compensation accuracy. The tracking performance is summarized by a derived theorem. Experimental results are also obtained to verify the high performance nature of the proposed control strategy.     

A Tracking Filter in Spherical Coordinates Enhanced by De-noising of Converted Doppler Measurements

Tracking problem in spherical coordinates with range rate (Doppler) measurements, which would have errors correlated to the range measurement errors, is investigated in this paper. The converted Doppler measurements, constructed by the product of the Doppler measurements and range measurements, are used to replace the original Doppler measurements. A de-noising method based on an unbiased Kalman filter (KF) is proposed to reduce the converted Doppler measurement errors before updating the target states for the constant velocity (CV) model. The states from the de-noising filter are then combined with the Cartesian states from the converted measurement Kalman filter (CMKF) to produce final state estimates. The nonlinearity of the de-noising filter states are handled by expanding them around the Cartesian states from the CMKF in a Taylor series up to the second order term. In the mean time, the correlation between the two filters caused by the common range measurements is handled by a minimum mean squared error (MMSE) estimation-based method. These result in a new tracking filter, CMDN-EKF2. Monte Carlo simulations demonstrate that the proposed tracking filter can provide efficient and robust performance with a modest computational cost.     

基于离子电流的爆震波压力非线性模型

为了实现爆震波压力的软测量,依据碳氢焰离子形成原理及爆震波高速传播的特点,在分析爆震波离子形成机理的基础上,根据爆震波离子电流与压力信号的相似性,提出基于离子电流的爆震波压力非线性模型建模思路。采用RBF网络建立爆震波非线性模型,并给出网络结构、样本选取原则和预处理方法。开展了单次脉冲爆震试验,利用试验数据建立该压力非线性模型,并通过试验数据和模型输出的对比校核模型的有效性和准确性。     

光纤陀螺反馈通道非线性误差试验仿真分析

针对光纤陀螺输出中存在死区等问题,对光纤陀螺反馈通道的非线性特性进行了研究,通过理论、实验与仿真分析相结合的方式,得出不同深度的方波调制下非线性误差对陀螺输出精度的影响。理论分析表明,方波的调制深度越深,非线性误差对输出的影响就越剧烈,并给出了非线性误差公式。当输入角速率较小时,这种误差就会较容易地观测出。因而采取设计实验与仿真的方法验证上述结论的正确性,并得到了一致的结论。     

基于自适应动态逆的自动空中加油轨迹跟踪

针对自动空中加油(AAR, Automated Aerial Refueling)的受油机轨迹跟踪控制问题,采用导引环与姿态控制环分离的控制策略,提出了基于非线性路径跟随导引和自适应神经网络动态逆的受油机轨迹跟踪控制方法.该方法将改进的非线性导引应用于受油机横、纵向导引控制,使用自适应神经网络在姿态角速率回路补偿外界干扰和系统模型误差,并利用比例-积分型姿态角速率误差动态方程设计自适应神经网络权值更新律.仿真结果表明:在受油机接近加油机过程中,该方法有效提高了受油机轨迹跟踪控制系统的抗干扰能力和对模型不确定性的自适应能力,能够满足自动空中加油的控制要求.