道路交通事故再现模拟分析系统的研究

本文研究开发了道路交通事故再现模拟分析系统。基于现实世界中事故形态千差万别的特点，采用人工智能技术、使用不同于其它系统的参数子集建立模型，根据特定事故形态特点进行模型假设。采用虚拟现实技术，以Opengl接口开发了三维动画演示模块，在虚拟世界中演示车辆运动，允许用户改变场景元素。系统中还开发了车辆技术参数数据库。并用此系统对实际的事故进行了模拟分析，与PC－CRASH系统的结果进行了对比，结果基本一致。     

一种用于1／2汽车主动悬架的可调模糊控制器

本文对用于1／2汽车主动悬架系统的模糊控制器进行了研究。在设计模糊控制器时，引入模糊控制规则调整因子，使得控制策略灵活，适应性强，并以模拟路面时间历程为输入对汽车1／2主动悬架模型进行计算机仿真，结果表明用这种可调模糊控制器控制的主动悬架，汽车的适性和操纵稳定性都得到了明显改善。     

汽油／LPG双燃料轿车双点火提前角自动切换装置

汽油车改装成汽油／LPG双燃料车后，由于汽油和LPG的物化性质和燃烧特性有较大的差别，因而使用同一个点火提前角是不合理的。本文以桑 塔纳LX型轿车发动机为对象，通过台 试验得出燃用LPG时的最佳点火提前角，在原车点火系统的基础上，研制出一套能根据不同的燃料自动切换点火提前角的点火装置，该装置在台架和整车道路试验中都获得较好的结果。     

汽车混合器内天然气—空气混合过程的可视化

本研究制作了透明的混合器模型，把由高速CCD照相机拍摄的纹影画像送入车像处理装置进行处理，调查了空气流量、节气门开度等对混合器内天然气－空气混合过程的影响，探明了混合器出口的混合气的分布特性，并提出了促进混合器内部天然气－空气混合的途径。     

汽车动力系统的滑模控制

汽车动力系统是一个非常复杂的系统，不仅系统的参数较多，而且有着非常严重的非线性，这使得汽车动力系统不易在线辨识，只能选用鲁棒性控制，本文采用滑模控制理论进行控制器设计，对基于循环的增压柴油发动机离散平均值模型和基于时间的传动系平均值模型进行了多级滑模面的串级滑模变结构控制，最终使车速信号能精确地跟踪给定的车速参考信号。     

液体粘性联轴器驼峰特性

本文分析了四轮驱动汽车用液体粘性联轴器驼峰现象的产生条件和形成机理，并对各种结构参数对驼峰特性的影响进行了深入系统的试验研究，获得了硅油粘度，硅油填充率以及输入转速等参数对驼峰特性的影响，研究结果对粘性联轴器设计开发具有指导意义。     

纯氢燃料电池汽车性能的仿真

本文以由纯氢作燃料、采用串联式结构的燃料电池车用研究对象，通过仿真对车辆的部分参数和驾驶循环对车辆的性能影响进行了分析。在所分析的车辆参数中，动力系统效率的提高对车辆能量经济的改善最为有效，其次是车的总质量、空气阻力系数和滚动阻力系数减小的影响。在对原地起步加速特性的影响中，车重的减轻效果最为明显，其次是空气阻力系数和动阻力系数减小的影响。这些结论为燃料电池车动力系统的优化设计提供了依据。     

APOPTOSIS OF HYPERPLASIA AND CANCER OF THE GALLBLADDER WITH CALCULAS

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MODEL AND SIMULATION FOR A BRUSHLESS AC GENERATOR WITH AROTARY RECTIFIER

Objective For a brushless AC generator with a rotary rectifier, it is necessary and significant to model and simulate at normal and fault operation states. Methods Two new concepts, namely, Simulink signals and PSB (Power System Blockset) variables, are proposed, and the difference between the two concepts is clarified. Based on the new model for synchronous machines, a simulation model for a brushless AC generator with a rotary rectifier is constructed by Matlab/Simulink/PSB. This new model, which has a speed input terminal and an exciting voltage input one, can simulate the real electrical characters and direct mechanical connection between two synchronous machines perfectly. The rotary rectifier is a three-phase full-wave bridge rectifier which consists of six diodes. The model for the diodes is a macro-model which possesses much better accuracy than an ideal one of switches. Results Based on the present model, some simulation results such as exciting current waveform, phase current waveform and phase voltbge waveform are afftained at several operation conditions. Conclusion The simulation for a brushless AC generator with a rotary rectifier is demonstrated at normal and fault operation states, respectively. The results confirm the presented method.     

CLASSIFICATIONS OF EEG SIGNALS FOR MENTAL TASKS USING ADAPTIVE RBF NETWORK

Objective This paper presents classifications of mental tasks based on EEG signals using an adaptive Radial Basis Function (RBF) network with optimal centers and widths for the Brain-Computer Interface (BCI) schemes. Methods Initial centers and widths of the network are selected by a cluster estimation method based on the distribution of the training set. Using a conjugate gradient descent method, they are optimized during training phase according to a regularized error function considering the influence of their changes to output values. Results The optimizing process improves the performance of RBF network, and its best cognition rate of three task pairs over four subjects achieves 87.0%. Moreover, this network runs fast due to the fewer hidden layer neurons. Conclusion The adaptive RBF network with optimal centers and widths has high recognition rate and runs fast. It may be a promising classifier for on-line BCI scheme.