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出 处:《系统仿真学报》2014年第2期389-393,424,共6页Journal of System Simulation
基 金:中央高校基本科研业务费专项资金(SWJTU11BR019);国家科技支撑计划项目(2007BAG05B00)
摘 要:弓网受流性能良好是列车高速安全运行的前提条件,为研究模糊主动控制策略对弓网性能的影响,建立了弓网动力学模型及主动控制模型,构建了模糊主动控制器,进而建立了弓网系统的simulink仿真模型,对被动控制和模糊主动控制下的弓网振动特性进行了仿真分析。最后,建立了基于虚拟现实技术的弓网系统模糊主动控制仿真平台,仿真平台具有较强沉浸感、交互性,可使用户身临其境般的感受模糊主动控制对弓网振动性能的影响。研究表明:模糊主动控制可以极大的改善弓网受流性能,降低弓网接触力波动程度幅度达70%;降低弓网接触力最大值幅度达50%;提高接触力最小值幅度达80%。虚拟现实技术能在三维逼真的虚拟场景中展现仿真结果,有效提高对数据及其本质含义的认识和发现能力,缩短数据分析时间,是仿真数据展现与分析的重要手段。The regular current collection is a fundamental requirement to high speed trains, and can be obviously improved by the use of active control. In order to study the impact of the fuzzy active control to pantograph-catenary system, the model of the system with or without active control was established, the fuzzy controller was constructed, and the simulation model was created with the software of simulink. Finally, the virtual simulation platform for pantograph-catenary was established with the integration of the VR and simulink. Then the influences of fuzzy active control to dynamic performances and quality of current collection of the pantograph-catenary system were analyzed. It seems that, the performances of the pantograph-catenary system can be improved obviously with the fuzzy active control, the maximum value of the contact force is reduced to 50 percent, the minimum is increased to 80 percent, and the fluctuation extent of the contact force is reduced to 70 percent. And the VR is the best way to visualize and analyze the data.
关 键 词:弓网系统 受流质量 虚拟现实 模糊控制 主动控制 仿真平台
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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