白噪声参激余维2分叉系统研究

为考查白噪声参激的具有非半简双零特征值的一类余维二分叉系统的样本稳定性并确定其首次分叉点的位置，本文使用Ｌ．Ａｒｎｏｌｄ的渐近分析方法研究了系统最大Ｌｙａｐｕｎｏｖ指数的渐近分析式．为进一步研究噪声对于此系统退化分叉的影响，本文将使用一维扩散过程的奇异边界理论，考查“隐藏在余维２分叉点之后”同宿分叉系统受参激白噪声影响的分叉行为．     

一类随机分叉系统概率1分叉研究

对于三维中心流形上实噪声参数的一类余维2分叉系统,使用Arnold的渐近方法以及Fokker-Planck算子的特征谱展式,求解了不变测度以及最大的Lyapunov指数的渐进展式。     

不可压缩流中机翼颤振稳定性研究

研究两个自由度的机翼在不可压缩流作用下颤振的分支问题.运用罗司-霍维茨判据确定系统的分叉点,应用中心流形理论将四维系统降为二维系统,用直接求周期解方法对分叉点的真假中心及稳定性问题进行了分析,并研究了系统的极限环颤振.结果表明,本文研究的分叉点不是中心,而是稳定或不稳定焦点.在两个分叉点处,系统发生了超临界和亚临界Hopf分叉,产生稳定或不稳定极限环.     

随机干扰与随机参数激励联合作用下的Hopf分叉

本文研究van der Pol-Duffing型的非线性振子在随机干扰和随机参数联合作用下的Hopf分叉现象。本文所得结果证实了当系统处在于Hopf分叉点附近时,对系统的参数的变化具有敏感性。在研究过程中,我们利用Markov扩散过程逼近系统的随机响应,得到了沿稳定矩的概率1稳定和矩稳定的条件。对于非线性振子,我们得到了振幅过程的稳态概论密度函数。研究发现,确定性系统的Hopf分叉点在随机参数作用下具有漂移现象,这种漂移是由系统的性质所决定的,当分叉点为超临界的,分叉点向前漂移;而当分叉点为亚临界时,这种漂移是向后的。当系统处在外部随机干扰作用下时,系统出现非零响应。另外我们发现,稳态矩的分叉与其阶数无关。     

润滑对球轴承振动特性的影响

采用专门设计制作的试验轴承和微机数字式振动测量分析系统，研究了润滑对中心轴向载荷作用下深沟球轴承振动和噪声的幅值及频率特性的影响．结果表明：充分润滑能够有效地降低轴承的振动和噪声水平；润滑不充分或润滑剂不清洁可使振动和噪声加剧，诱发接触谐振和啸声，并使接触表面产生轻微损伤；无润滑时轴承振动急剧增高，并造成磨损失效；同时，润滑油膜的“刚化效应”使轴承弹性接触振动的固有频率提高．     

离心叶轮气动声场的数值计算与分析

采用SIMPLEC算法对Ghost叶轮的三维非定常流场进行了数值模拟。利用计算所得流场结果并结合Lighthill和Lowson声学方程计算了由叶片表面非定常脉动力产生的气动噪声。计算结果表明:气动噪声的峰值主要集中在基频及其谐波附近;与静止的点声源相比,运动的点声源不仅使声场存在明显的多普勒效应,还会使声场的强度产生较大的变化;但对转速恒定的旋转点声源,加速度的变化对声场的影响可以忽略;从声场的分布来看,整个旋转叶轮可以看成是一个按简谐变化的偶极子源,数值计算结果与理论分析的结果吻合良好。     

基于有色噪声的改进卡尔曼滤波方法

为了解决实际工程中微机械惯性测量单元加速度计数据存在有色噪声导致计算的姿态角波动异常的问题,提出一种基于有色噪声的改进卡尔曼滤波方法。通过对有色噪声的特点进行分析,建立了针对有色噪声的状态预测协方差公式、卡尔曼滤波增益公式、系统状态与动态有色噪声的协方差公式、测量值与观测有色噪声的协方差公式,推导出处理有色噪声的卡尔曼滤波公式。仿真试验表明,改进的卡尔曼滤波方法能有效解决有色噪声导致的姿态角波动异常问题,证明了基于白噪声的卡尔曼滤波是基于有色噪声卡尔曼滤波的特例。     

台阶法测量CCD成像系统MTF的数据处理方法

根据台阶图像的特点,采用阈值法、多剖线平均法以及多项式曲线拟合法对图像中的白斑噪声,涨落噪声和其它噪声进行前期处理,去噪效果较好,使图像的有用信息损失小,提高了测量CCD成像系统调制传递函数的精度。实践表明,用这种数据处理方法测量CCD成像系统的MTF较为合适。     

非线性问题和分叉问题及其数值方法

本文给出了一个一般性的分叉定义，说明了伪弧长算法在分叉计算中的应用，概述了静分叉点定位、用单纯形算法准确确定静分叉后各分叉解枝初始方向的算法，以及Ｈｏｐｆ分叉点定位和大范围连续追踪周期解轨道的数值方法。     

摩擦噪声研究的现状和进展

评述了近２０年来摩擦噪声的理论和实验研究进展,指出在摩擦噪声研究领域取得的主要进展表现在制动系统摩擦尖啸噪声的动力学分析下,而对摩擦同观结构影响的研究不多,许多问题还有待深入研究,为了更好地认识摩擦噪声机理和探讨控制摩擦噪声的措施,建议应从摩擦学与动力学交叉的角度来研究和分析摩擦噪声。     

Stochastic Hopf bifurcation in quasi-integrable-Hamiltonian systems

A new procedure is developed to study the stochastic Hopf bifurcation in quasiintegrable-Hamiltonian systems under the Gaussian white noise excitation. Firstly, the singular boundaries of the first-class and their asymptotic stable conditions in probability are given for the averaged Ito differential equations about all the sub-system‘s energy levels with respect to the stochastic averaging method. Secondly, the stochastic Hopf bifurcation for the coupled sub-systems are discussed by defining a suitable bounded torus region in the space of the energy levels and employing the theory of the torus region when the singular boundaries turn into the unstable ones. Lastly, a quasi-integrable-Hamiltonian system with two degrees of freedom is studied in detail to illustrate the above procedure.Moreover, simulations by the Monte-Carlo method are performed for the illustrative example to verify the proposed procedure. It is shown that the attenuation motions and the stochastic Hopf bifurcation of two oscillators and the stochastic Hopf bifurcation of a single oscillator may occur in the system for some system‘s parameters. Therefore, one can see that the numerical results are consistent with the theoretical predictions.     

随机扰动的同宿分岔系统研究

利用一维扩展过程的奇点理论并结合能量包络的随机平均法，考查“隐藏在余维２分岔点之后”的同宿分岔系统受参激白噪声影响的分岔行为。     

随机ARNOLD系统的稳定性与分叉

本文详细讨论了当ｎ＝２时Ａｒｎｏｌｄ系统在小强度的随机参数激励扰动下，系统的运动稳定性及分叉。为了研究系统响应的统计特性，本文使用了Ｍａｒｋｏｖ近似技巧。在线性系统的情形，给出了系统矩稳定及样本稳定的充分必要条件。在非线性情形，本文的结果表明随机扰动可使系统的分叉点发生漂移     

Hopf bifurcation control for stochastic dynamical system with nonlinear random feedback method

Hopf bifurcation control in nonlinear stochastic dynamical system with nonlinear random feedback method is studied in this paper. Firstly, orthogonal polynomial approximation is applied to reduce the controlled stochastic nonlinear dynamical system with nonlinear random controller to the deterministic equivalent system, solvable by suitable numerical methods. Then, Hopf bifurcation control with nonlinear random feedback controller is discussed in detail. Numerical simulations show that the method provided in this paper is not only available to control the stochastic Hopf bifurcation in nonlinear stochastic dynamical system, but is also superior to the deterministic nonlinear feedback controller.     

On homoclinic bifurcation system in the presence of stochastic perturbation

By virture of the singular point theory for one-dimension diffusion process and the stochastic averaging approach of energy envelop, the bifurcation behavior of a homoclinic bifurcation system, which is in the presence of parametric white noise and is concealed behind a codimension two bifurcation point, is investigated in this paper. Supported by the National Science Foundation of China under Grant No. 19602016.     

Hopf bifurcation of nonlinear system with multisource stochastic factors

The article mainly explores the Hopf bifurcation of a kind of nonlinear system with Gaussian white noise excitation and bounded random parameter. Firstly, the nonlinear system with multisource stochastic factors is reduced to an equivalent deterministic nonlinear system by the sequential orthogonal decomposition method and the Karhunen–Loeve (K-L) decomposition theory. Secondly, the critical conditions about the Hopf bifurcation of the equivalent deterministic system are obtained. At the same time the influence of multisource stochastic factors on the Hopf bifurcation for the proposed system is explored. Finally, the theorical results are verified by the numerical simulations.     

Stochastic Hopf bifurcation of quasi-integrable Hamiltonian systems with multi-time-delayed feedback control and wide-band noise excitations

The stochastic Hopf bifurcation of multi-degree-of-freedom (MDOF) quasi-integrable Hamiltonian systems with multi-time-delayed feedback control subject to wide-band noise excitations is studied. First, the time-delayed feedback control forces are expressed approximately in terms of the system state variables without time delay and the system is converted into an ordinary quasi-integrable Hamiltonian system. The averaged It? stochastic differential equations are derived by using the stochastic averaging method for quasi-integrable Hamiltonian systems. Then the expression for average bifurcation parameter of the averaged system is obtained approximately and a criterion for determining the stochastic Hopf bifurcation induced by time-delayed feedback control forces in the original system using average bifurcation parameter is proposed. An example is worked out in detail to illustrate the criterion and its validity and to show the effect of time delay in feedback control on stochastic Hopf bifurcation of the system.     

载流圆板在磁场中的随机稳定性分析

本文根据大挠度板壳力学基础理论和电磁弹性力学理论,建立了载流圆板的非线性磁弹性随机振动力学模型,采用伽辽金变分法将其变换成非线性常微分动力学方程．通过拟不可积哈密顿系统的平均理论将该方程等价为一个一维伊藤随机微分方程．通过计算该方程的最大Lyapunov 指数判断该系统的局部随机稳定性,并进一步采用基于随机扩散过程的奇异边界理论判断该系统的全局稳定性．最后通过讨论该系统的稳态概率密度函数图的形状变化讨论了该动力系统的随机Hopf分岔的变化规律,并采用数值模拟对理论分析进行了验证．     

Parametric random excitation of nonlinear coupled oscillators

The stochastic bifurcation and response statistics of nonlinear modal interaction under parametric random excitation are studied analytically, numerically and experimentally. Two basic definitions of stochastic bifurcation are first introduced. These are bifurcation in distribution and bifurcation in moments. bifurcation in moments is examined for the case of a coupled oscillator subjected to parametric filtered white noise. The center frequency of the excitation is selected to be close to either twice the first mode or second mode natural frequencies or the sum of the two. The stochastic bifurcation in moments is predicted using the Fokker-Planck equation together with gaussian and non-Gaussian closures and numerically using the Monte Carlo simulation. When one mode is parametrically excited it transfers energy to the other mode due to nonlinear modal interaction. The Gaussian closure solution gives close results to those predicted numerically only in regions well remote from bifurcation points. However, bifurcation points predicted by the non-Gaussian closure are in good agreement with those estimated by numerical simulation. Depending on the excitation level, the probability density of the excited mode is strongly non-Gaussian and exhibits multi-maxima as predicted by Monte Carlo simulation. Experimental tests are carried out at relatively low excitation levels. In the neighborhood of stochastic bifurcation in mean square the measured results exhibit different regimes of response characteristics including zero motion and occasional small random motion regimes. These two regimes are characterized by the phenomenon of on-off intermittency. Both regimes overlap and thus it is difficult to locate experimentally the bifurcation point.