电液伺服系统的仿真与自校正PID控制器的设计

对一个试验用电液伺服系统进行了理论建模和仿真研究 ,引入了一个非线性状态方程模型来描述电液伺服系统的动态特性 .通过仿真结果与实际系统的响应相比较 ,验证了所建立的理论模型的准确性 .在此仿真模型基础上 ,设计了一个适用的自校正PID控制器 ,并且对其控制特性进行了仿真研究     

4×4轮式两栖车可升降独立悬架方案的仿真研究

对4×4轮式两栖车的可升降独立悬架进行了方案选择与具体设计;前悬架采用双横臂式扭杆弹簧带摩擦减振器的可提升悬架,后悬架采用肘内传动式单纵臂导向机构的可提升悬架;并在此基础上用ADAMS软件建立了整车三维实体参数化模型,在该模型下对选择的方案进行了动态仿真研究.最终确定出该悬架方案形式是一种可行方案.在方案验证时,采用了虚拟样机设计技术和动态仿真研究手段,利用轮式整车模型,在ADAMS/View环境下,以操纵稳定性分析为重点,进行了车轮提升、通过性、稳态转向特性、瞬态横摆响应以及回正能力等的仿真分析.     

The effect of training data set size and the complexity of the separation function on neural network classification capability: The two-group case

Classification among groups is a crucial problem in managerial decision making. Classification techniques are used in: identifying stressed firms, classifying among consumer types, and rating of firms' bonds, etc. Neural networks are recognized as important and emerging methodologies in the area of classification. In this paper, we study the effect of training sample size and the neural network topology on the classification capability of neural networks. We also compare neural network capabilities with those of commonly used statistical methodologies. Experiments were designed and carried out on two-group classification problems to find answers to these questions. The prediction capability of the neural network models are better than traditional statistical models. The learning capability of the neural networks is improving compared to traditional models because the discriminate function is more complex. For real world classification problems, the usage of neural networks is highly recommended, for two reasons: learning capability and flexibility. Learning capability: Neural network classifies better in sterile experiments as performed in this research. Flexibility: Real life data are rarely not contaminated with noise, such as unknown distributions, and missing variables, etc. Neural networks differ from a statistical model that it is not dependent on any assumption concerning the data set distribution. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 699–717, 1997     

虚拟现实技术在飞行仿真中的应用

详细讨论了虚拟现实技术在飞行仿真中的应用。     

BP人工神经网络的应用及其实现技术

简述了BP人工神经网络的算法原理 ,利用Batchnet程序对一个三层BP人工神经网络进行了设计 ,应用Matlab中人工神经网络工具箱设计了一个用于函数逼近的BP人工神经网络 ,最后 ,运用Matlab中可视化工具Simulink对一个BP人工神经网络例子进行了仿真 ,通过例子 ,探讨了BP人工神经网络的应用并介绍目前几种实用的BP人工神经网络实现技术 .     

舰船动力装置训练模拟器的研制

介绍了某型舰船动力装置训练模拟器的软硬件构成、主要功能及特点 .该模拟器在PC机环境下进行研制 ,通过CAN网和以太网进行数据通讯 ,可实现动力装置的全过程仿真 .它硬件投资少 ,开发时间短 ,而且功能全 ,操作使用方便 ,具有较高的推广价值和应用前景 .     

面向对象仿真方法框架研究

提出了面向对象仿真方法框架 ,详细说明了它的概念和基本结构 ,通过对某型防空导弹制导控制系统的仿真研究 ,证明了它的合理性和在系统仿真研究中的重要性     

单基发射药的热自燃数值模拟与其剩余能量变化研究

建立了单基发射药柱热自燃的数学模型 ,根据模型利用数值模拟的方法计算了单基发射药的中心温度与其剩余能量 ,并对中心温度的模拟结果与实验结果进行了比较。解决了其热分解动力学参数的非唯一性问题 ,为装填有单基发射药各种弹药的热自燃计算提供了依据     

Modeling of the whole process of shock wave overpressure of free-field air explosion

The waveform of the explosion shock wave under free-field air explosion is an extremely complex problem. It is generally considered that the waveform consists of overpressure peak, positive pressure zone and negative pressure zone. Most of current practice usually considers only the positive pressure. Many empirical relations are available to predict overpressure peak, the positive pressure action time and pressure decay law. However, there are few models that can predict the whole waveform. The whole process of explosion shock wave overpressure, which was expressed as the product of the three factor functions of peak, attenuation and oscillation, was proposed in the present work. According to the principle of explosion similarity, the scaled parameters were introduced and the empirical formula was absorbed to form a mathematical model of shock wave overpressure. Parametric numerical simulations of free-field air explosions were conducted. By experimental verification of the AUTODYN numerical method and comparing the analytical and simulated curves, the model is proved to be accurate to calculate the shock wave overpressure under free-field air explosion. In addition, through the model the shock wave overpressure at different time and distance can be displayed in three dimensions. The model makes the time needed for theoretical calculation much less than that for numerical simulation.     

Effect of tongue clearance on hydraulic performance of double support vortex pump

In order to study influence of tongue clearance on the hydraulic performance of double support vortex pump, three dimensional flow model with symmetric variable size tongue clearance was established by changing section parameter of tongue clearance, and applied to numerically simulate the steady inner flow in a vortex pump based on fixed working conditions and impeller through ANSYS FLUENT. The numerical results show the influence of tongue channel with two sections (non-uniform and uniform sections) on flow field characteristics in vortex pump. Firstly, the variation of tongue channel section changes the vortex structure distribution in circumferential flow channel. Specifically the spiral forward vortex structure in the circumferential direction shifts to large radius side with increasing tongue width. Secondly, the circumferential velocity gradient and axial pressure gradient both diminish with the increase of the tongue section, and the inlet/outlet pressure difference and velocity distribution also reduce with increasing tongue channel section. Finally, for vortex pump with non-uniform section of tongue channel, the head diminishes and the efficiency remains constant approximately with the increase of the tongue width, while the head and the efficiency both diminish for uniform section of tongue channel.