精品文档---下载后可任意编辑AMT 汽车起步模糊控制及其优化策略的讨论的开题报告摘要自动变速器（Automatic Transmission，简写 AT）的进展已经历经百年，从最初的无自动换档 AT 到目前的自动手动变速器（Automated Manual Transmission，简写 AMT）已经拥有了许多高级的控制系统。然而目前 AMT 在起步阶段的控制还存在一些问题，如车辆起步抖动等。为解决这些问题，本讨论提出了一种基于模糊控制的 AMT 起步控制策略，并对其进行优化。首先，通过对 AMT 车辆起步过程进行分析，确定了状态量和控制量，建立了AMT 起步控制系统的数学模型，并基于 Simulink 平台进行了模拟。然后，针对 AMT 起步时存在的车辆抖动问题，采纳模糊控制方法对 AMT 起步过程进行控制。将车速和离合器滑移率作为输入变量，将离合器压力作为输出变量，通过设定合理的模糊规则，实现对 AMT 起步过程的模糊控制。最后，对模糊控制进行了优化。根据先前的控制策略，采纳遗传算法对模糊规则进行优化，以达到更好的起步性能。本讨论的主要贡献是提出了一种基于模糊控制的 AMT 起步控制策略，并对其进行了优化。通过模拟和优化，该控制策略可以有效地解决车辆起步抖动问题，并具有良好的稳定性和鲁棒性。关键词：自动手动变速器；起步控制；模糊控制；遗传算法AbstractThe development of Automatic Transmission (AT) has undergone a century, from the initial non-automatic shifting AT to the current Automated Manual Transmission (AMT) with many advanced control systems. However, the control of AMT in the startup phase still has some problems, such as vehicle shaking during startup. To solve these problems, this study proposes a fuzzy control-based AMT startup control strategy and optimizes it.Firstly, the state and control variables were determined through the analysis of the AMT startup process, and the mathematical model of the AMT startup control system was established, which was simulated on the Simulink platform.Secondly, to solve the problem of vehicle shaking during AMT startup, the fuzzy control method was used to control the startup process of ...
