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Real coded GA for tuning of semi-active railway vehicle suspension system

机译:用于半主动铁路车辆悬架系统调整的实编码遗传算法

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摘要

To maintain a high level of comfort expected by passengers from transportation vehicle while maintaining a high safety standards railway vehicle suspension system contribute the most significant impact. The main requirement of a vehicle suspension is that, it should be able to minimize the vertical displacement and the acceleration of the body in order to improve passenger comfort. A viable alternative to maintain the level of comfort is to use a semi-active suspension system with magneto-rheological (MR) damper which will reduce the inherent tradeoff between the ride comfort and road holding characteristic of the vehicle. Since the behavior of semi-active devices is often highly nonlinear, one of the main challenges in the application of this technology is the development of appropriate control system. In this thesis, the development of a semi-active suspension control of half car model of railway vehicle using stability augmentation control system is studied. A mathematical modelling and computer simulation model of secondary half car semi-active suspension controller algorithm have been developed within Matlab-SIMULINK. The tuning of this controller was developed by using Genetic Algorithm (GA).
机译:在保持高安全标准的同时,要保持运输车辆乘客期望的高舒适度,铁路车辆悬架系统的影响最大。车辆悬架的主要要求是,它应能够使垂直位移和车身加速度最小化,以提高乘客的舒适度。保持舒适度的一种可行选择是使用带有磁流变(MR)阻尼器的半主动式悬架系统,这将减少车辆行驶舒适性和道路保持特性之间的固有折衷。由于半主动设备的行为通常是高度非线性的,因此该技术应用中的主要挑战之一是开发适当的控制系统。本文研究了采用稳定性增强控制系统的铁路半车半主动悬架控制系统的开发。在Matlab-SIMULINK中开发了半车半主动悬挂控制器算法的数学建模和计算机仿真模型。该控制器的调节是通过使用遗传算法(GA)开发的。

著录项

  • 作者

    Bagheri Arash;

  • 作者单位
  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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