| 低速磁浮列车悬浮系统动力学建模及非线性控制研究 |
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| 引用本文： | 孙友刚,李万莉,林国斌,徐俊起.低速磁浮列车悬浮系统动力学建模及非线性控制研究[J].同济大学学报(自然科学版),2017,45(5):0741-0749. |
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| 作者姓名： | 孙友刚 李万莉 林国斌 徐俊起 |
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| 作者单位： | 同济大学 机械与能源工程学院， 上海 201804,同济大学 机械与能源工程学院， 上海 201804,同济大学（国家）磁浮交通工程技术研究中心， 上海 201804,同济大学（国家）磁浮交通工程技术研究中心， 上海 201804 |
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| 基金项目： | “十二五”国家科技支撑计划（2013BAG19B00-01） |
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| 摘 要： | 以国家磁浮交通工程技术研究中心的低速磁浮列车为研究对象，探讨了外界扰动、非线性和时变性条件下悬浮控制系统的设计问题.首先建立悬浮系统非线性数学模型，并搭建悬浮系统仿真平台.然后设计线性PD（proportion differentiation）控制律，仿真表明其性能依赖参数的选取，对扰动敏感，鲁棒性弱.为提高悬浮控制器的鲁棒性，由可变边界层和指数趋近律出发，导出改进型的滑模控制律.用Lyapunov法证明其稳定性.仿真结果表明该控制律动态性能好，控制精度高，鲁棒性强，且能有效抑制系统颤振.最后通过整车试验证明所提出的改进型滑模控制律的有效性.
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| 关 键 词： | 低速磁浮列车 滑模变结构 可变边界层 Lyapunov法 整车试验 |
| 收稿时间： | 2016/8/1 0:00:00 |
| 修稿时间： | 2017/3/27 0:00:00 |
Dynamic Modeling and Nonlinear Control Research for Magnetic Suspension Systems of Low-Speed Maglev Train |
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| SUN Yougang,LI Wanli,LIN Guobin and XU Junqi.Dynamic Modeling and Nonlinear Control Research for Magnetic Suspension Systems of Low-Speed Maglev Train[J].Journal of Tongji University(Natural Science),2017,45(5):0741-0749. |
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| Authors: | SUN Yougang LI Wanli LIN Guobin and XU Junqi |
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| Institution: | School of Mechanical Engineering, Tongji University, Shanghai 201804, China,School of Mechanical Engineering, Tongji University, Shanghai 201804, China,National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China and National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China |
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| Abstract: | The low speed maglev train presented by National Maglev Transportation Engineering R&D Center was regarded as the research object. The design of magnetic suspension control (MSC) system under disturbance, nonlinear and time variant was discussed. Firstly, the nonlinear dynamic model of the MSC system was derived and the simulation platform of the MSC system was established. Next, the linear PD control law was designed. The simulation results show its performance depended on parameters and its robust is weak. An improved sliding mode controller is developed to improve the robustness by utilizing exponential reaching law and variable boundary layer. The Lyapunov method was employed to prove its stability. The sufficient simulations show that the presented control method has good dynamic performance, high control accuracy and strong robustness without chattering. Finally, the experiment verified the effectiveness of the improved sliding mode controller. |
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| Keywords: | low speed maglev train sliding mode variable boundary layer Lyapunov method train experiment |
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