|本期目录/Table of Contents|

[1]刘艳,齐晓燕.感应电机龙伯格—滑模观测器参数辨识方法[J].电机与控制学报,2011,(08):93-100.
 LIU Yan,QI Xiao-yan.An Luenberger-sliding mode observer parameter identification for induction motors[J].,2011,(08):93-100.
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感应电机龙伯格—滑模观测器参数辨识方法(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
期数:
2011年08
页码:
93-100
栏目:
出版日期:
2011-08-20

文章信息/Info

Title:
An Luenberger-sliding mode observer parameter identification for induction motors
作者:
刘艳; 齐晓燕;
大连大学信息工程学院;
Author(s):
LIU YanQI Xiao-yan
Information Engineering Institute,University of Dalian,Dalian 116622,China
关键词:
混合动力汽车 感应电机 龙伯格“—”滑模观测器 动态输出误差技术 参数自适应
Keywords:
hybrid electric vehicle(HEV) induction motors Luenberger-sliding mode observer dynamic output error technique
分类号:
TM346
DOI:
-
文献标志码:
A
摘要:
针对混合动力汽车用感应电机模型参数时变性突出的问题,研究感应电机多模型参数在线辨识算法。依据龙伯格观测器和滑模控制理论,提出龙伯格-滑模观测器在线辨识感应电机模型参数的新方法。该方法将龙伯格-滑模观测器和自适应辨识算法结合起来对定子电流和转子磁链同时进行在线实时跟踪和自适应调节,利用定子电流估计变量的动态误差,在李亚普诺夫渐进稳定条件下实时辨识感应电机主要模型参数Rr和Rs。该方法结构简单、可靠,对驱动系统内部噪声和大测量信号扰动有很强的鲁棒性,并易于工程实现。仿真结果验证所提方法的有效性。
Abstract:
The induction motor parameters vary with the operating conditions considerably in the Hybrid Electric Vehicle.In view of the situation,an on-line parameter identification method for induction motors was investigated.Based on the theory of Luenberger observer and sliding mode control,a novel Luenberger-sliding mode observer with adaptive identification was presented to estimate the parameters of induction motor in real time.A Luenberger-sliding mode observer and an adaptive identification method ...

参考文献/References:

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备注/Memo

备注/Memo:
辽宁省教育厅科学技术研究项目(200803525)
更新日期/Last Update: 2012-03-31