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基于Kalman滤波的弹性轨道上磁悬浮车辆控制方法 被引量:1

Levitation control strategy for maglev on elastic track based on Kalman filter
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摘要 为研究弹性轨道上磁悬浮列车的车轨耦合振动问题,以单磁铁-弹性轨道梁系统为对象,搭建单磁铁悬浮系统的车轨耦合振动数学模型,利用Kalman滤波器的状态估计功能,设计出2种状态反馈控制器,对比分析2种控制策略下悬浮系统的稳定特性。基于MATLAB/RTW及dSPACE系统搭建弹性梁磁悬浮实时控制试验台,验证考虑轨道弹性的控制策略的有效性。研究结果表明:若不计轨道梁的阻尼作用,不考虑轨道弹性的控制策略无法实现对磁悬浮系统的稳定控制,但在给定轨道梁阻尼的前提下,提高轨道梁刚度也可以使得系统稳定;考虑轨道弹性的控制方法,即使不计轨道梁的阻尼,也能够使系统在较低刚度的轨道梁上稳定悬浮。 For the solution of the vehicle-guideway coupling vibration, taking the single magnet coupled with elastic track as the object, the numerical model of the vehicle-guideway coupling system was found. Two kinds of the state-feedback controllers were developed based on the Kalman filters, and their influences on the stability of the maglev system were investigated, respectively. A Real-time simulation platform for the elastic-track single magnetic levitation system was founded based on MATLAB/RTW and dSPACE, and the effectiveness of the latter control method was verified. The research results show that, if the track has no damping, the controller taking the track as a rigid body cannot make the maglev system steady, but a harder track stiffness enables the system with a certain track damping to stabilize; the control method considering the track's flexibility can soundly maintain the system stable even the track has a relatively soft stiffness and no damping effect.
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2014年第3期965-972,共8页 Journal of Central South University:Science and Technology
基金 国家科技支撑计划项目(115-04-CL-047)
关键词 KALMAN滤波 磁悬浮 弹性轨道梁 车轨耦合振动 状态反馈 Kalman filter maglev elastic track coupled vibration state variable feedback
作者简介 通信作者:王辉(1983-),男,河南沈丘人,博士研究生,从事磁悬浮控制及车辆动力学的研究;电话:18801962427,E-mail:wh053@163.com
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