| PSO优化的LS-SVM在列车弓网系统的建模研究 |
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| 引用本文： | 衷路生,齐叶鹏,杨辉,龚锦红,张永贤,颜争.PSO优化的LS-SVM在列车弓网系统的建模研究[J].华东交通大学学报,2012,29(3):1-6. |
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| 作者姓名： | 衷路生 齐叶鹏 杨辉 龚锦红 张永贤 颜争 |
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| 作者单位： | 华东交通大学电气与电子工程学院,江西南昌,330013 |
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| 基金项目： | 国家自然科学基金项目，铁道部科学技术研究重点项目，江西省自然科学基金项目 |
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| 摘 要： | 提出基于粒子群(PSO)优化最小二乘支持向量机(LS-SVM)的列车弓网系统建模方法。针对LS-SVM的超参数难以选择的问题,提出采用具有全局搜索性能的PSO优化LS-SVM超参数的方法。在建立弓网子系统模型的基础上,得到了弓网系统的整体动力学方程。最后进行弓网系统的仿真实验,结果表明,所提出的PSO优化LS-SVM模型比LS-SVM模型、子空间模型具有更高的预报精度,所提出的方法用于列车弓网系统的建模是有效的。
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| 关 键 词： | 最小二乘支持向量机 粒子群优化 弓网系统 曲线拟合 非线性建模 |
Modeling of Train Pantograph-catenary System Based on LS-SVM Optimized by PSO |
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| Zhong Lusheng
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Qi Yepeng
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Yang Hui
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Gong Jinhong
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Zhang Yongxian
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Yan Zheng.Modeling of Train Pantograph-catenary System Based on LS-SVM Optimized by PSO[J].Journal of East China Jiaotong University,2012,29(3):1-6. |
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| Authors: | Zhong Lusheng Qi Yepeng Yang Hui Gong Jinhong Zhang Yongxian Yan Zheng |
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| Institution: | ,Gong Jinhong(School of Electrical and Electronic Engineering,East China of Jiaotong University,Nanchang 330013,China) |
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| Abstract: | A modeling method,based on least squares support vector machine(LS-SVM)optimized by particle swarm optimization(PSO),for train pantograph-catenary system is proposed in this paper.For the difficult choice of hyper parameters of LS-SVM,the PSO with global search performance is used to optimize the hyper parameters of LS-SVM.In addition,the whole pantograph-catenary dynamic equation is obtained on the basis of establishing the model of the pantograph-catenary subsystem.Finally,simulation experiment is carried out,and the simulation results show that proposed LS-SVM optimized by PSO model has better forecast precision than LS-SVM model.Tthe proposed method is effective in modeling train pantograph-catenary system。 |
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| Keywords: | LS-SVM PSO pantograph-catenary system curve fitting nonlinear modeling |
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