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| 基于改进最小二乘支持向量机的电力机车牵引电机建模 | |
| 引用本文： | 李娜,杨恒,屈志坚,杨罡.基于改进最小二乘支持向量机的电力机车牵引电机建模[J].铁道学报,2011,33(3). |
| 作者姓名： | 李娜 杨恒 屈志坚 杨罡 |
| 作者单位： | 1. 中国铁道科学研究院,科学技术信息研究所,北京,100081 2. 北京交通大学,电子信息工程学院,北京,100044 3. 北京交通大学,电气工程学院,北京,100044;华东交通大学,电气学院,江西,南昌,330013 4. 北京交通大学,电气工程学院,北京,100044 |
| 基金项目： | 国家自然科学基金资助项目 |
| 摘 要： | 介绍利用最小二乘支持向量机的回归理论对牵引电机磁化曲线进行拟合,从而建立准确的电力机车牵引电机模型的方法.针对最小二乘支持向量机参数选择耗时长的问题,提出一种基于三步搜索技术的参数选择方法.理论分析及仿真结果表明,该方法可优化选择最小二乘支持向量机的参数,并可提高最小二乘支持向量机的建模速度.将该方法用于电力机车牵引电机建模的参数选择,仿真结果表明,该方法建立的电力机车牵引电机模型精确度高,可用于对电力机车主电路性能及控制策略的研究. |
| 关 键 词： | 电力机车 曲线拟合 最小二乘支持向量机 三步搜索法 建立模型 |
Traction Motor Simulation Model of Electric Locomotive Based on Improved Least Squares Support Vector Machine |
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| LI Na,YANG Heng,QU Zhi-jian,YANG Gang.Traction Motor Simulation Model of Electric Locomotive Based on Improved Least Squares Support Vector Machine[J].Journal of the China railway Society,2011,33(3). | |
| Authors: | LI Na YANG Heng QU Zhi-jian YANG Gang |
| Institution: | LI Na1,YANG Heng2,QU Zhi-jian1,YANG Gang1(1.Scientific & Technological Information Research Institute,China Academy of Railway Sciences,Beijing 100081,China,2.School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,3.School of Electrical Engineering,4.School of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang 330013,China) |
| Abstract: | Considering the nonlinear magnetization characteristics of the traction motor of the electric locomotive,the paper presents the least squares support vector machine(LS-SVM) to acquire the fitting of magnetization curve.In order to shorten the modeling time,the three step search method is used to get the optimized parameters of LS-SVM.Theoretical analysis and simulation results show that the method facilitates optimization of the parameters and shortening of the modeling time of LS-SVM.The traction motor sim... |
| Keywords: | electric locomotive curve fitting least squares support vector machine three step search method modeling |
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