自动驾驶汽车的仿真

随着汽车自动化程度的提高，自动驾驶汽车已成为国内外的研究热点之一。本文设计了一种自动驾驶汽车的模型，它能根据道路的弯曲程度变化实时地计算出车辆的转向角度输入，控制车辆按照预设想道路行吮。     

油气主动悬架非线性模型的建立、仿真与试验验证

本文通过分析油气悬架中存在的气体弹簧刚度非线性特性和摩擦力，建立了主动悬架的非线性模型。分析了悬架的非线性特性对悬架运动的影响。仿真和试验结果表明，非线性模型比线性模型更接近油气悬架的实际情况，根据非线性模型设计的车身高度控制策略比根据线性模型设计的控制策略具有更好的控制效果。     

板材成形数值模拟技术在汽车复杂冲压件生产中的应用

采用ＤＹＮＡＦＯＲＭ和ＬＳ－ＤＹＮＡ３Ｄ软件，对轿车行李箱内盖板、轻型车减振器支架、ＣＡ４８８发动机油底壳等几个复杂冲压件的成形过程进行数值分析，利用数值模拟技术成功地解决了这些零件在生产和测试中出现的质量问题。     

动力总成悬置元件特性对整车振动的影响

本文建立了轿车整车动力学模型，通过仿真计算和实车测试分析了怠速工况下液压悬置和橡胶悬置元件对整车振动的影响。试验测试结果与理论计算结果基本吻合，证明所建模型与分析方法是正确的，可用于分析轿车动力学问题。     

汽车噪声的模拟及其应用

介绍了采用“分频带数字滤波法”来模拟汽车噪声的原理及其主要参数的选择，并通过试验证了该模拟方法和模拟系统的可行性，由此建立的汽车噪声模拟系统可用于研究汽车噪声对人体的各种生理指标和化指标的影响规律。     

汽车制动功能失常故障树仿真建模与分析

本文采用Ｍｏｎｔｅ－Ｃａｒｌｏ随机抽样方法，建立汽车制动功能失常故障树仿真模型，编制出故障桎仿真程序ＳＦＴＡ，求出该系统的平均无故障工作时间、累积换效及各底事件重要度。同时借助于故障树仿真程序对系统进行可靠性分析，不仅能解决故障树分析中部件为非指数分布所遇到的困难，而且能够从仿真的运行过程中，观察到系统内部部各部分对整个系统可靠性所产生的作用，对于整体提高汽车制动系统的可靠性提供了有益的参考依据。     

船舶柴油机数字式调速器仿真系统设计

文章以DGS8800e数字式调速器作为仿真对象,对调速器仿真系统的结构组成、调节器、执行器、监控系统以及监控面板进行了仿真设计。该系统界面友好、工作可靠且具有面向训练的功能特征,可以满足教学及海员适任证书培训评估的需要。     

主动悬架系统控制策略研究

文章设计一种主动悬架控制策略,通过建立四分之一车辆主动悬架系统模型,设计模糊滑模控制策略对主动悬架系统进行控制,并使用Matlab/Simulink软件对所建立的模型进行仿真分析。通过仿真结果验证了所建模型和控制策略的准确性,同时也改善了悬架系统的性能。     

Prediction of wheel wear in urban railway transport: comparison of existing models

One of the most important maintenance costs in tramway transport comes from wear of wheel profiles. In the highly competitive railway market, the prediction of wear is then a major concern of the constructors. In this article, we present and compare four models well adapted to tramway conditions, involving contacts on the rolling tread and on the flange with very different sliding and pressure conditions. Moreover, all models can be implemented from the natural outputs of the railway simulation packages classically used in industry for the dynamics design of the vehicles. The first one, proposed by Jendel, is based on the well-known Archard's wear model. Enblom continues Jendel's approach by taking into account the contribution of wheel deformation on the sliding velocity. The last two models, developed by Zobory, and Pearce and Sherratt, determine the wear from the energy dissipation in the contact area. The models are first compared on a theoretical basis and, for that purpose, are rewritten in a common form. Two cases are distinguished: mild wear as arising on the rolling tread and severe wear as arising on the flange. The models are also compared in the practical case of an urban transport vehicle running on circular tracks with different curve radii. Although the models show equivalent trends according to the theoretical study, important discrepancies appear between estimated wear depths. All models are actually dependent on experimental coefficients and it is likely that they were estimated in different conditions. On the other hand, a reasonable agreement can be found in some particular conditions. As an example, Zobory's, Enblom's and Jendel's models are very close to each other in severe wear conditions. This work shows that a general and reliable model could probably be developed from all positive aspects of the existing ones.     

Application of genetic algorithms for joint optimization of signal setting parameters and dynamic traffic assignment for the real network data

This paper presents the joint optimization of signal setting parameters and dynamic user equilibrium (DUE) traffic assignment for the congested urban road network. The simulation-based approach is employed to obtain the DUE condition for the case of multiple-origin multiple-destination traffic flows. The dynamic traffic assignment simulation program (DTASP), developed in C language is used to assign the traffic dynamically on the road network, whereas method of successive averages (MSA) is modified and used to arrive at the DUE condition. The artificial intelligence technique of genetic algorithms (GAs) is applied to obtain the optimal signal setting parameters and path flow distribution factor for DUE condition. The methodology developed in such a way that joint optimization of signal setting parameters with DUE is obtained. The proposed method is applied to the real network data of Fort Area of Mumbai city comprising of 17 nodes and 56 unidirectional links with 72 Origin–Destination pairs, where all the 17 nodes are signalized intersections. The traffic flow condition for the optimized signal setting parameters is considerably improved compared to the existing signal settings. The results prove that the GA is an effective technique to solve the joint optimization problem for the real network data.