|本期目录/Table of Contents|

[1]李旭春,王 倩,马少康.带离线参数辨识的降阶观测器 PMSM无位置传感器控制[J].电机与控制学报,2017,21(01):1-7.[doi:10.15938/j.emc.2017.01.001]
 LI Xu-chun,WANG Qian,MA Shao-kang.Reduced order observer based PMSM sensorless control algorittim with parameters identification at standstillis [J].,2017,21(01):1-7.[doi:10.15938/j.emc.2017.01.001]
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带离线参数辨识的降阶观测器 PMSM无位置传感器控制(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
21
期数:
2017年01
页码:
1-7
栏目:
出版日期:
2017-01-01

文章信息/Info

Title:
Reduced order observer based PMSM sensorless control algorittim with parameters identification at standstillis


作者:
?李旭春 王 倩 马少康
?(清华大学自动化系 ,北京 100084)
Author(s):
?LI Xu-chun WANG Qian MA Shao-kang
?(Department of Automation Tsinghua University Beijing 100084,China)

关键词:
永磁同步电机 无位置传感器降阶观测器参数辨识递推最小二乘法
Keywords:
PMSM sensorless reduced order observer parameter identification recursive least square
分类号:
TM 343;TM 921
DOI:
10.15938/j.emc.2017.01.001
文献标志码:
A
摘要:
提出了一种带有离线参数辨识的永磁同步电机(PMSM)无位置传感器控制方案。使用改进的基于解耦PMSM模型降阶反电动势观测器来估计转子位置与速度,提出一种极点配置方案,简化了降阶观测器的结构,同时分析了模型参数变化对位置估计误差的影响并且基于稳定性分析推导出交轴电流允许的极限值。在电机静止状态下,使用递推最小二乘方法将需要的电气参数离线辨识出来以供观测器使用,定子电阻和直交轴电感三个参数的辨识误差均在6%以内,能够满足应用需求。最后,通过实验验证了整个方案的可行性,电机转子位置估计误差在4。以内,速度估计误差在20 r/min以内,所使用的无传算法具有良好的动态性能。
Abstract:
A PMSM sensorless control scheme using identified parameters was presented. Reduced order back-EMF observers based on decoupled PMSM model were utilized for estimating rotor position and speed, and a method of poles assignment of observers was proposed, which can simplify the structure of reduced order observers. Furthermore, inaccuracy of estimated position caused by model varation was analyzed, then a method of designing maximum operating current was proposed to limit the inaccuracy. Meanwhile, recursive least square ( RLS) metliod was utilized for parameters identification at standstill, then sensorless vector control works on base of the identified parameters, the identification errors of the three parameters" stator resistance, direct axis inductance, quadrature axis inductance) are all witiiin 6% which can meet tiie application requirement. At last, a series of experment bility of the proposed algorithm , the estimation error of the rotor position is within 4 degrees a estimation error is less than 20 r/min. The sensorless algorithm proposed has good dynamic pe/ormance.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2015 -08 -01
作者简介:李旭春(1956—),男,副教授,硕士生导师,研究方向为电力电子与电机控制;
王倩(1990—),男,硕士,研究方向为电机控制;
马少康(1990—),男,博士研究生,研究方向为电机控制。
更新日期/Last Update: 2017-03-28