Periodic Orbits and Invariant Tori from a Semistable Limit Cycle in the Fast Dynamics

IntroductionIn the paper,the bifurcations of periodic or-bits and invariant tori of the following system wasstudied:x。=f(x,y) εh(t,x,y,ε)∈R2y。=εg(t,x,y,ε)∈R,0≤ε1(1)where h(t,x,y,ε)and g(t,x,y,ε)are T-periodicin t.For simplicity,the functions f,g and h areassumed to be sufficiently smooth in their argu-ments throughout this paper.In Ref.[1],Wiggins and Holmes called thesystems of form Eq.(1)as slowly varying oscilla-tors and pointed out that the systems taking theform occur as mo…     

Application of H infinite control to ship steering system

1Introduction Whensailinginwaves,thestateofshipsteeringisina constantdirectionmostly.Intheconditionofexisting thedisturbanceofwave,windandflow,theship shouldkeepacertainheadingprecisionunderthecon trolofauto pilot.Alongwiththevariationofshipload condition…     

基于主元分析-概率神经网络的车辆受电弓故障诊断

在城市轨道交通车辆受电弓日常检修过程中,大量检修及故障数据未得到合理利用。针对计划检修已不能满足目前受电弓检修要求的问题,提出了一种基于主元分析和概率神经网络结合的故障诊断方法。该方法运用主元分析法对受电弓日常检修中的初始特征参数进行降维,将降维后特征参数输入到概率神经网络模型中进行故障诊断,判定受电弓故障模式。仿真结果表明,该诊断方法耗时短、正确性高。     

输入扰动对波动鳍推进性能影响的研究

输入扰动对波动鳍推进性能影响是一个新兴的研究领域。本文分析了高频率、小幅度和短波长的正弦波形叠加于波动鳍上时对波动鳍推进力的影响。建立运动学模型,利用四面体网格对计算区域进行划分,采用非耦合隐式求解器求解非定常不可压缩N-S方程和连续性方程。给出计算条件,并对算法给予验证。比较等波幅和变波幅两种正弦扰动波形下,波动鳍的无量纲阻力系数、阻力系数均值以及涡量场随周期(0.05 s、0.1 s、0.3 s、0.5 s、0.8 s)、幅度(0.0008 m、0.001 m、0.0015 m)和波长(0.002 m、0.008 m、0.012 m)的变化情况,从涡动力学角度对该影响进行解释。结果显示:输入扰动不仅影响了波动鳍前缘涡的传递,并对波动鳍周边及尾迹区域漩涡数量和强度产生了改变。除在特定条件外,输入扰动对波动鳍推进力产生负面影响,变波幅扰动的影响要大于等波幅情况。该研究可为波动鳍选择合适参数的输入扰动以提高推进力提供参考。     

基于Matlab油船意外泄油性能的程序设计

基于概率方法的意外泄油性能参数计算是2010年1月1日及以后新造船破舱稳性需要评估的性能之一,满足一定的衡准要求方可。根据油船的分舱分别进行船底破损概率和船侧破损概率的插值,然后按照一定的公式求出船底破损后与船侧破损后的泄油量的加权之和,即意外泄油性能参数。由于手工计算费时费力,文章基于Matlab平台,开发了意外泄油性能参数的自动计算程序模块。计算结果与文献结果相比较,证明了本程序的计算精度,具有较好的工程实用价值。     

Assessment of factors associated with travel time reliability and prediction: an empirical analysis using probabilistic reasoning approach

Significant efforts have been made in modeling a travel time distribution and establishing measures of travel time reliability (TTR). However, the literature on evaluating the factors affecting TTR is not well established. Accordingly, this paper presents an empirical analysis to determine potential factors that are associated with TTR. This study mainly applies the Bayesian Networks model to assess the probabilistic association between road geometry, traffic data, and TTR. The results from this model reveal that land use characteristics, intersection factors, and posted speed limits are directly associated with TTR. Evaluating the strength of the association between TTR and the directly related variables, the log odds ratio analysis indicates that the land use factor has the highest impact (0.83) followed by the intersection factor (0.57). The findings from this study can provide valuable resources to planners and traffic operators in their decision-making to improve TTR with quantitative evidence.     

Singular perturbation composite control of a free-floating flexible dual-arm space robot

The Free-floating Flexible Dual-arm Space Robot is a highly nonlinear and coupled dynamics system. In this paper, the dynamic model is derived of a Free-floating Flexible Dual-arm Space Robot holding a rigid payload. Furthermore, according to the singular perturbation method, the system is separated into a slow subsystem representing rigid body motion of the robot and a fast subsystem representing the flexible link dynamics. For the slow subsystem, based on the second method of Lyapunov, using simple quantitative bounds on the model uncertainties, a robust tracking controller design is used during the trajectory tracking phase. The optimal control method is designed in the fast subsystem to guarantee the exponential stability. With the combination of the two above, the system can track the expected trajectory accurately, even though with uncertainty in model parameters, and its flexible vibration gets suppressed, too. Finally, some simulation tests have been conducted to verify the effectiveness of the proposed methods.     

船用光伏发电系统最大功率跟踪及自动跟踪控制研究

太阳能是一种新型的可再生清洁能源,资源丰富,对环境无任何污染,被越来越多的用在船舶上。搭载光伏发电系统的船舶具有经济性好、噪音低、振动小、安全性好及无污染等优点,已经得到了初步应用。为研究光伏发电系统在船舶上的应用,针对如何提高光伏发电系统输出功率,提高光伏发电系统的发电效率展开研究,重点对最大功率跟踪控制及自动跟踪控制技术的实现进行研究与分析。     

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

The missing data problem remains as a difficulty in a diverse variety of transportation applications, e.g. traffic flow prediction and traffic pattern recognition. To solve this problem, numerous algorithms had been proposed in the last decade to impute the missed data. However, few existing studies had fully used the traffic flow information of neighboring detecting points to improve imputing performance. In this paper, probabilistic principle component analysis (PPCA) based imputing method, which had been proven to be one of the most effective imputing methods without using temporal or spatial dependence, is extended to utilize the information of multiple points. We systematically examine the potential benefits of multi-point data fusion and study the possible influence of measurement time lags. Tests indicate that the hidden temporal–spatial dependence is nonlinear and could be better retrieved by kernel probabilistic principle component analysis (KPPCA) based method rather than PPCA method. Comparison proves that imputing errors can be notably reduced, if temporal–spatial dependence has been appropriately considered.     

三阶非线性边值问题的奇摄动

利用微分不等式技巧和Volterra型积分算子，研究了一类三阶非线性奇摄动边值问题解的存在和渐近估计。