【作者】 王玉；

【导师】 郭进；

【作者基本信息】 西南交通大学 ， 交通信息工程及控制， 2011， 硕士

【摘要】 随着社会的进步和发展,人们对列车运行安全、时间和舒适度的要求不断提高,与此同时,计算机、通信和控制技术得到巨大的发展。于是,人们开始研究应用这些先进的技术,设计实现列车自动驾驶系统,代替司机的操作,实现列车的自动驾驶,达到安全、准时、节能、准确停车和舒适的目的。本文在对列车自动驾驶系统的结构、功能和工作原理的深入研究基础上,对列车运行过程中的工况和在各种工况下的受力情况进行了分析明确了工况转换的原则,并对驾驶策略进行了研究。采用数学的方法对列车自动驾驶过程进行了描述,建立了节能优化操纵的数学模型。采用CRH-2型动车组的数据,以数学模型为基础,在模拟线路上应用粒子群.优化算法对列车运行过程进行优化。所得ATO目标曲线基本满足了列车运行过程中对安全性、准时性、舒适性和准确停车的要求,同时节约了能耗。然后,根据实际情况,提出对速度控制器的性能要求,并应用MATLAB,设计了ATO系统仿真软件。文中采用预测函数控制作为核心算法,设计了ATO系统的速度控制器,并与广义预测控制算法设计的速度控制器进行对比、分析,结果表明前者在鲁棒性、稳定性和超调等方面优于后者。从而,验证了将预测函数控制算法应用到列车自动驾驶系统中的可行性。研究结果表明,采用以上方法设计的ATO系统仿真软件,适用于不同线路和列车,可有效降低天气、路况等不确定因素对列车运行带来的影响,能够满足列车自动驾驶的各项指标。更多还原

【Abstract】 With the social progress and development as well as the huge improvement on technologies of computer, communication and control, there has been an increasing demand for the safety, running time and riding comfort of a train. Therefore, people began to apply these technologies to the design of automatic train control system so as to replace the operation of the driver, realize automatic operation and achieve purposes of safety, punctuality, energy efficiency, precise positioning parking and comfort. On the basis of in-depth study on the structure, function and working principle of the automatic train control system, this paper begins with an analysis on the operating mode during the operation process of the train, along with the force conditions under various operating modes. After ascertaining the switching principle of the operating mode, the author conducts a study on the driving strategies and applies mathematical methods in the description of automatic train operation process, followed by the establishment of a mathematical model for the energy-saving and optimized control. Based on the data of CRH-2 and mathematical model, the author optimizes the running process of the train on the simulate route by the Particle Swarm Optimization Algorithm. The ATO target curve basically achieves the requirements of safety, punctuality, comfort and precise positioning parking, with a great cut-down on energy. In consideration of the actual conditions, the author presents the requirement on the performance of speed controller and designs a simulation software for ATO system by MATLAB. With Predictive Functional Control as the core algorithm, a speed controller of ATO system is designed and then compared with the speed controller designed by Generalized Predictive Control algorithm. The results show that the former speed controller is superior to the latter one in terms of robustness, stability and overshoot. Thereby, the feasibility of the application of Predictive Functional Control algorithm in the automatic train control system is validated.The research results indicate that the simulation software for ATO system designed by the above-mentioned methods can be applied to various routes and trains. It can also effectively reduce the impact of weather, road conditions and other uncertainties on train operations, achieving the targets of automatic train operation.更多还原