永磁同步电机双率残差增广最小二乘参数辨识
针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法（ DR-RELS）,对其算法收敛性进行分析。仿真实验结果表明,DR-RELS算法对变换后的永磁同步电机双率采样数据模型参数估计一致收敛,同时噪声方差的大小影响该算法收敛效果。...
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| Published in | 电机与控制学报 Vol. 18; no. 4; pp. 45 - 51 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
西南交通大学 电气工程学院，四川 成都610031
2014
重庆理工大学 电子信息与自动化学院，重庆400054%西南交通大学 电气工程学院,四川 成都,610031%重庆理工大学 电子信息与自动化学院,重庆,400054 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-449X |
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| Abstract | 针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法（ DR-RELS）,对其算法收敛性进行分析。仿真实验结果表明,DR-RELS算法对变换后的永磁同步电机双率采样数据模型参数估计一致收敛,同时噪声方差的大小影响该算法收敛效果。 |
|---|---|
| AbstractList | TM351; 针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法( DR-RELS),对其算法收敛性进行分析。仿真实验结果表明,DR-RELS算法对变换后的永磁同步电机双率采样数据模型参数估计一致收敛,同时噪声方差的大小影响该算法收敛效果。 针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法（ DR-RELS）,对其算法收敛性进行分析。仿真实验结果表明,DR-RELS算法对变换后的永磁同步电机双率采样数据模型参数估计一致收敛,同时噪声方差的大小影响该算法收敛效果。 |
| Abstract_FL | Permanent magnet synchronous motors( PMSM) control system has multi-rate sampling charac-teristic in itself on the system input and output. The model transformation matrix was proposed based on polynomial transformation technique and the dual-rate mathematical model of PMSM was induced under the current and voltage, and the extended parameters vector and regressive model of dual-rate sampled system was acquired. The residual was used to estimate the unmeasurable noise, and then the residual based extended least squares ( DR-RELS) was proposed and used to the parameters identification, and the convergence properties of the algorithm was analyzed. Simulation results show that DR-RELS is uni-formly convergence for the parameters of PMSM dual-rate sampling system, and meanwhile noise variance affects the convergence performance of this proposed algorithm. |
| Author | 徐鹏 肖建 杨奕 李山 |
| AuthorAffiliation | 西南交通大学电气工程学院,四川成都610031 重庆理工大学电子信息与自动化学院,重庆400054 |
| AuthorAffiliation_xml | – name: 西南交通大学 电气工程学院，四川 成都610031; 重庆理工大学 电子信息与自动化学院，重庆400054%西南交通大学 电气工程学院,四川 成都,610031%重庆理工大学 电子信息与自动化学院,重庆,400054 |
| Author_FL | LI Shan XU Peng XIAO Jian YANG Yi |
| Author_FL_xml | – sequence: 1 fullname: XU Peng – sequence: 2 fullname: XIAO Jian – sequence: 3 fullname: YANG Yi – sequence: 4 fullname: LI Shan |
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| ClassificationCodes | TM351 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DocumentTitleAlternate | Residual based extended least squares identification method of permanent magnet synchronous motor dual-rate sampling data system |
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| Keywords | 一致收敛 polynomial transformation tech-nique multi-rate sampling 多项式变换技术 uniformly convergence permanent magnet synchronous motors extended least squares 永磁同步电机 residual 多采样率 增广最小二乘算法 残差 |
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| Notes | permanent magnet synchronous motors;multi-rate sampling;polynomial transformation tech-nique;residual;extended least squares;uniformly convergence XU Peng, XIAO Jian, YANG Yi, LI Shan （ 1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China; 2. School of Electronic and Automation, Chongqing University of Technology, Chongqing 400054, China） 23-1408/TM Permanent magnet synchronous motors（ PMSM） control system has multi-rate sampling charac-teristic in itself on the system input and output. The model transformation matrix was proposed based on polynomial transformation technique and the dual-rate mathematical model of PMSM was induced under the current and voltage, and the extended parameters vector and regressive model of dual-rate sampled system was acquired. The residual was used to estimate the unmeasurable noise, and then the residual based extended least squares （ DR-RELS） was proposed and used to the parameters identification, and the convergence properties of the algorith |
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| PublicationTitle | 电机与控制学报 |
| PublicationTitleAlternate | Electric Machines and Control |
| PublicationTitle_FL | Electric Machines and Control |
| PublicationYear | 2014 |
| Publisher | 西南交通大学 电气工程学院，四川 成都610031 重庆理工大学 电子信息与自动化学院，重庆400054%西南交通大学 电气工程学院,四川 成都,610031%重庆理工大学 电子信息与自动化学院,重庆,400054 |
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| Snippet | 针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法（... TM351; 针对永磁同步电机系统输入输出的本质多采样率特性,结合多项式变化技术,构建模型转换矩阵,推导出基于电流和电压的永磁同步电机双率采样数学模型,获得其扩展参数向量,并构建其回归模型,针对输入输出量中不可测干扰量采用残差估计,进而建立永磁同步电机双率残差增广最小二乘算法(... |
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| SubjectTerms | 一致收敛 增广最小二乘算法 多采样率 多项式变换技术 残差 永磁同步电机 |
| Title | 永磁同步电机双率残差增广最小二乘参数辨识 |
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