数控铣削三轴联动刀轨路径仿真

基于OpenGL实现数控铣削三轴联动刀具轨迹包络面仿真．可实时观察刀具轨迹运动过程，并对仿真结果进行平移、缩放、旋转等操作，以便全方位、多角度观察。     

机车车辆动力学研究及发展

机车车辆动力学在最近10年得到迅速发展,考虑车辆—轨道耦合作用的耦合模型得到广泛应用。随着大跨距跨江铁路桥的建设,车和桥的耦合振动会引起接触网的振动,进而影响弓网的耦合振动。因此十分有必要开展接触网—受电弓—机车车辆—线路—桥梁耦合大系统动力学的研究。进行机车车辆动力学性能优化,必须首先确定机车车辆动力学三要素的优先关系,即运行的稳定性—安全性—平稳性,建立以列车为研究对象的模型,同时在模型中考虑机车车辆结构弹性和频变特征悬挂参数以及气流扰动的影响,进而进行灵敏度分析和参数优化。给出考虑频变特性的钢弹簧等效计算方法以及基于循环变量的列车系统动力学建模和计算方法,并验证了计算方法的有效性。     

交通需求OD估计与预测的现状研究分析

目前，对于静态OD矩阵估计问题已经有很多研究者，对于动态OD前沿的研究工作则非常有限。关于对OD估计和预测的研究可分为封闭网络和开放网络。介绍了研究封闭网络的Bell，Van der Zijpp，Chang and Wu和Chang and Tao等人的方法，以及研究开放网络动态估计的3种方法，即Cascetta、Okutani、Ashok和Ben—Akiva等人的方法。并指出可以将OD估计问题陈述为具有不同误差特性、多个来源的不同类型信息的综合性和一致性的结合体，此联合估测就是经济计量学的混合估计的问题。     

基于实时视景仿真技术的海上航标监管系统

海上航标系统是海上交通安全保障体系的重要组成部分。结合上海海事局厦门航标处的航标日常管理与实时监控的实际业务需求,开展了利用实时视景仿真技术与电子海图相结合构建海上航标监管系统的应用研究和系统实现等工作。该系统的实现,有利于航标设置方案的审定与选择,有利于监控者对现场环境的把握和应急决策。     

基于神经网络的感应电动机特性辨识新方法

提出并论证了一种基于神经网络的感应电动机特性辨识新方法,只需测得电机两相电流数值便可以辨识出电动机转矩和转速,用改进的Levenberg-Marquardt算法对神经网络进行学习和训练,构建了适合电动机转矩转速观测的BP神经网络。由于RBF神经网络无论是在逼近能力、函数拟合和学习速度方面都优于BP网络,也利用RBF网络进行了辨识。该方法较已经提出的方法相比,需要的检测量少,辨识方法简单。仿真研究表明,RBF神经网络辨识效果优于BP神经网络。     

基于ANN星识别算法的仿真平台

星敏感器是一种高精确度的姿态测量仪器，它通过对观测到的星点进行识别来计算姿态。为了能够较好地测试和验证星识别系统的性能，设计了一个基于ANN算法的星识别仿真平台。通过对该星识别仿真平台性能的测试，表明该仿真平台能够方便，实时地测试星识别算法的性能与正确性，因此说它是一种具有较好实用价值的星识别仿真平台。     

京秦线提速路涵过渡段动力仿真与试验对比

结合京秦线提速改造工程进行了列车 路基动力仿真计算。在不同速度条件下,通过对路涵过渡段加固前后状态下机车车辆运行安全舒适性指标、轨道及路基主要动力性能指标的分析计算,对京秦既有线路涵过渡段提速到200km/h的适应性及加固方案的可行性提出了相应评价意见与建议,并与随后的实车试验进行了对比。试验测试结果验证了仿真分析的可靠性。     

Experimental ivnestigation on flow fields of viscous fluid around two-dimensional wings and comparison with computational results

To examine the flow field of a viscous fluid around the trailing edge of a wing with respect to the Kutta condition or the Joukowski hypothesis, an experimental investigation into the velocity fields around two-dimensional (2D) wings NACA0012 and NACA4412 was carried out using an X-type hot-wire anemometer in a wind tunnel and the method of colored milk injection in a circulating water channel. The results of these investigations revealed that the flow of a viscous fluid at the trailing edge of a 2D wing is tangential to the face on the pressure side, and that the flow is very slow or reversed on the suction side due to separation when the angle of attack is greater than 7.5°. By flow visualization, a Kármán vortex street was found in the wake of both wings (NACA0012 and NACA4412) when the angle of attack was 5°. These results show that the ordinary Kutta condition with respect to the direction of outflow at the trailing edge is not necessarily satisfied in a viscous fluid, but the Kutta condition with respect to the pressure at the trailing edge is satisfied as usual. Numerical results, which have been obtained as the solution of Reynolds-averaged Navier-Stokes equations, show good agreement with above-mentioned experimental results. Therefore, CFD (Computational Fluid Dynamics) simulation has proved to be very effective for studying steady viscous flow around the trailing edge of a 2D wing.     

多值非线性系统的自适应控制

提出了带有多值非线性环节的线性离散系统的自适应控制算法，仿真实验的结果表明：该算法简单易行具有明显的优点，跟踪误差比采用一般的自适应控制算法时要小得多，且能保证闭环系统大范围近收敛。     

Dynamic Simulation of a Smart Crank and Slider Mechanism

In this paper, a smart crank and slider mechanism is analyzed mostly from a dynamic view. By means of dynamic explicit finite element method, 3D nonlinear structure is simulated. It is proved that the mechanism can effectively accomplish smart movement prescribed. And in order to ensure reciprocal movement with higher frequency, measures should be taken to avoid over heating of parts. Compared with internal energy, kinetic energy of total rigid body is dominating, and Y direction equivalent rigid velocity is much higher than X direction velocity. Equivalent rigid velocity of all parts is consistent with respective movement condition. For both energy and velocity, slider effect is dominating. Three direction equivalent inertia force oscillates. Force amplitude in Y -direction is comparitively the greatest.