气体动压轴承-转子动力系统稳定性及分岔

基于非线性动力学理论, 研究了普通圆柱型径向气体动压轴承支承的转子动力系统的运动稳定性和分岔.建立了气体动压轴承-Jeffcott转子系统的力学模型, 并采用有限元方法逼近非定常气体雷诺方程, 得到任意时刻的气膜力;数值模拟该非线性动力系统的长期行为, 得到了轴颈中心的运动轨迹;并采用轨迹图、相图、分岔图以及功率谱等, 研究了系统的非线性行为以及不平衡响应的稳定性.研究结果表明:该方法对气体轴承中存在的气膜涡动问题能够给予合理的解释.      

精密转台系统非线性动态自适应控制器设计

提出了一种用于精密转台平滑鲁棒自适应控制器。通过基于σ改进方案的自适应律估计得到未知摩擦参数和非线性项的常值上界,并且利用一种平滑预测算法来改进用于估计不可测摩擦状态的双观测器。为了抑制不确定非线性项,加入了无抖振滑模控制项。通过Lyapunov方法证明了系统的位置跟踪误差是一致最终有界的。仿真研究表明了该控制方案的有效性。     

基于EKF方法的橡胶隔震支座参数识别实验研究

采用Bouc-Wen模型建立橡胶隔震支座的非线性动力学方程,基于已有研究成果,缩减模型参数简化模型,建立不同数量参数的迟滞模型模拟橡胶隔震支座的非线性特性。对橡胶隔震支座进行振动台实验,基于测得的加速度信号和广义卡尔曼滤波(Extended Kalman filter,EKF)方法在线识别橡胶隔震支座的参数和位移。对不同参数数量的Bouc-Wen模型在不同地震波激励下,EKF方法识别得到的橡胶隔震支座模型参数一致,且识别的位移和实际测量得到的位移曲线吻合良好,验证了本文所得模型参数的有效性和准确性及模型简化的合理性,也证明了EKF方法在橡胶隔震支座参数识别中的有效性。     

搭接连接系统的非线性振动分析

针对航空航天结构中典型的搭接连接系统,基于改进的Iwan迟滞非线性模型研究系统的非线性振动特性。采用谐波平衡法对系统稳态阶段响应求解,获得了系统的一阶谐波和三阶谐波近似解,并和数值积分解进行对比。分别研究了系统在谐波激励下的稳态解和瞬态解。结果表明,谐波平衡法获得的近似解与数值解吻合较好;谐波激励下系统的稳态响应具有软化非线性但不生跳跃的特点;瞬态响应中,等效系统固有频率随幅值降低而降低,响应信号中包含偶数倍高阶谐波分量。     

复合材料层合锥壳非线性稳定性的有限元分析

本文根据稳定性分析的前屈曲完全理论和修正型的Ｈａｈｎ－Ｔｓａｉ非线性本构关系，采用有限元法分析了复合材料层合回转壳的非线性稳定性，讨论了屈曲产壳体法向与面内支承条件和复合材料的横向和剪切非线性性能对壳体结构总体稳定性的影响，为工程结构设计者们提供了一些有益的参考意见。     

Nonlinear Aeroelastic Response of High-aspect-ratio Flexible Wings

The aeroelastic analysis of high-altitude, long-endurance (HALE) aircraft that features high-aspect-ratio flexible wings needs take into account structural geometrical nonlinearities and dynamic stall. For a generic nonlinear aeroelastic system, besides the stability boundary, the characteristics of the limit-cycle oscillation (LCO) should also be accurately predicted. In order to conduct nonlinear aeroelastic analysis of high-aspect-ratio flexible wings, a first-order, state-space model is developed by combining a geometrically exact, nonlinear anisotropic beam model with nonlinear ONERA (Edlin) dynamic stall model. The present investigations focus on the initiation and sustaining mechanism of the LCO and the effects of flight speed and drag on aeroelastic behaviors. Numerical results indicate that structural geometrical nonlinearities could lead to the LCO without stall occurring. As flight speed increases, dynamic stall becomes dominant and the LCO increasingly complicated. Drag could be negligible for LCO type, but should be considered to exactly predict the onset speed of flutter or LCO of high-aspect-ratio flexible wings.     

Fuzzy robust nonlinear control approach for electro-hydraulic flight motion simulator

A fuzzy robust nonlinear controller for hydraulic rotary actuators in flight motion simulators is proposed. Compared with other three-order models of hydraulic rotary actuators, the proposed controller based on first-order nonlinear model is more easily applied in practice, whose control law is relatively simple. It not only does not need high-order derivative of desired command,but also does not require the feedback signals of velocity, acceleration and jerk of hydraulic rotary actuators. Another advantage is that it does not rely on any information of friction, inertia force and external disturbing force/torque, which are always difficult to resolve in flight motion simulators. Due to the special composite vane seals of rectangular cross-section and goalpost shape used in hydraulic rotary actuators, the leakage model is more complicated than that of traditional linear hydraulic cylinders. Adaptive multi-input single-output(MISO) fuzzy compensators are introduced to estimate nonlinear uncertain functions about leakage and bulk modulus. Meanwhile, the decomposition of the uncertainties is used to reduce the total number of fuzzy rules. Different from other adaptive fuzzy compensators, a discontinuous projection mapping is employed to guarantee the estimation process to be bounded. Furthermore, with a sufficient number of fuzzy rules, the controller theoretically can guarantee asymptotic tracking performance in the presence of the above uncertainties, which is very important for high-accuracy tracking control of flight motion simulators.Comparative experimental results demonstrate the effectiveness of the proposed algorithm, which can guarantee transient performance and better final accurate tracking in the presence of uncertain nonlinearities and parametric uncertainties.     

带滑移滞变系统的三阶段逐步收敛的识别方法

针对非线性带滑移滞变系统模型复杂，参数多，识别时收敛困难等问题，提出了一种三阶段逐步收敛的识别方法对Baber与Noori提出的带滑移滞变模型进行了参数识别。计算实例表明，该方法具有收敛速度快、且容易收敛的特点，对于参数较多、模型复杂的系统，是一种非常有效的参数识别方法。     

循环加载下复合推进剂的能量耗散

在空空导弹的挂载飞行阶段,弹体高频振动导致的固体推进剂温升极大地损害了固体火箭发动机的性能。为深入探究固体推进剂的能量耗散及其影响因素,针对某复合推进剂进行了不同应变幅值下的多频率疲劳测试,并利用非接触式红外辐射装置同步采集了循环加载下推进剂试件的表面温度,讨论了频率、应变幅值两个因素对复合推进剂能量耗散的影响。结果发现,复合推进剂由于自身的黏滞性,在外部激励下产生了剧烈的疲劳生热行为,其能量耗散密度随着加载幅值和频率的增大而提高,能量耗散带来的试件表面温度呈现出先增大后稳定的规律。根据能量耗散和温度场方程,建立了复合推进剂疲劳过程中的温升计算模型,利用有限元仿真对不同加载条件下推进剂的滞后温升进行了较好的预测。     

Constrained adaptive neural network control of an MIMO aeroelastic system with input nonlinearities

A constrained adaptive neural network control scheme is proposed for a multi-input and multi-output (MIMO) aeroelastic system in the presence of wind gust, system uncertainties, and input nonlinearities consisting of input saturation and dead-zone. In regard to the input nonlinear-ities, the right inverse function block of the dead-zone is added before the input nonlinearities, which simplifies the input nonlinearities into an equivalent input saturation. To deal with the equiv-alent input saturation, an auxiliary error system is designed to compensate for the impact of the input saturation. Meanwhile, uncertainties in pitch stiffness, plunge stiffness, and pitch damping are all considered, and radial basis function neural networks (RBFNNs) are applied to approximate the system uncertainties. In combination with the designed auxiliary error system and the backstep-ping control technique, a constrained adaptive neural network controller is designed, and it is pro-ven that all the signals in the closed-loop system are semi-globally uniformly bounded via the Lyapunov stability analysis method. Finally, extensive digital simulation results demonstrate the effectiveness of the proposed control scheme towards flutter suppression in spite of the integrated effects of wind gust, system uncertainties, and input nonlinearities.