Analysis of Iron and Magnet Losses in Surface Permanent Magnet Machines Resulting from Injection-Based Self-Sensing Position Estimation
被引:0
作者:
Yang, Shih-Chin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Wisconsin, WEMPEC, Madison, WI 53706 USAUniv Wisconsin, WEMPEC, Madison, WI 53706 USA
Yang, Shih-Chin
[1
]
Lorenz, Robert D.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Wisconsin, WEMPEC, Madison, WI 53706 USAUniv Wisconsin, WEMPEC, Madison, WI 53706 USA
Lorenz, Robert D.
[1
]
机构:
[1] Univ Wisconsin, WEMPEC, Madison, WI 53706 USA
来源:
2011 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
|
2011年
关键词:
SPM machine;
sensorless control;
self-sensing;
high frequency signal injection;
iron loss;
EDDY-CURRENT LOSS;
BRUSHLESS MACHINES;
SYNCHRONOUS MOTORS;
FIELD DISTRIBUTION;
ROTOR POSITION;
AC MACHINES;
DC MOTORS;
SLOT;
POLE;
MODEL;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This paper presents a systematic analysis of iron and magnet losses in surface permanent magnet (SPM) machines for the self-sensing (sensorless) position estimation using HF signal injection. It is shown that the magnet eddy current losses due to the superimposed HF signal are significant and should be considered for SPM machine injection-based self-sensing drives. When a SPM machine uses concentrated windings (CW), the resulting HF armature flux linkage component is reduced because of the rich HF armature leakage fluxes in the stator. The decreased magnet eddy current losses can be achieved, resulting in better performance on both power conversion and self-sensing estimation. Two SPM machine prototypes with different winding configurations are used for experimental evaluation.