Position Estimation and Error Analysis in Linear Switched Reluctance Motors
被引:18
作者:
Zhao, Shi Wei
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
Zhao, Shi Wei
[1
]
Cheung, Norbert C.
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
Cheung, Norbert C.
[1
]
Gan, Wai-Chuen
论文数: 0引用数: 0
h-index: 0
机构:
ASM Assembly Automat Ltd, Kwai Chung, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
Gan, Wai-Chuen
[2
]
Yang, Jin Ming
论文数: 0引用数: 0
h-index: 0
机构:
S China Univ Technol, Elect Power Coll, Guangzhou 510640, Guangdong, Peoples R ChinaHong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
Yang, Jin Ming
[3
]
机构:
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
[2] ASM Assembly Automat Ltd, Kwai Chung, Hong Kong, Peoples R China
[3] S China Univ Technol, Elect Power Coll, Guangzhou 510640, Guangdong, Peoples R China
Error analysis;
linear switched reluctance motor (LSRM);
position estimation;
ROTOR POSITION;
DRIVES;
MODEL;
D O I:
10.1109/TIM.2009.2016363
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In this paper, a continuous position estimation scheme is presented for linear switched reluctance motors (LSRMs). The scheme uses diagnostic current injection into an unenergized phase to detect the motor position. This paper proposed that a new current integration index be used to quantify the measurement of current waveform. Hardware implementation results demonstrate the effectiveness of the proposed estimation scheme for the LSRM. This paper also performs a study on the accuracy of the estimated position. Through the detailed experimental data, the approach of polynomial fitting is compared with the lookup table with regard to characteristic curve representation. The estimation error distributions and their standard deviation show that the accuracy and precision are close between these two approaches.