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 徐鹏 肖建 杨奕 李山
Format Journal Article
LanguageChinese
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
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ISSN1007-449X

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Summary: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。
Bibliography: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
ISSN:1007-449X