A Fuzzy Logic Based Parameter Auto-tuning Method in MRAS for Sensorless Interior Permanent Magnet Synchronous Motor Drives with Cyclic Fluctuating Load

被引:0
|
作者
Shi, Yuchao [1 ]
Sun, Kai [1 ]
Huang, Lipei [1 ]
Li, Yongdong [1 ]
Xiao, Xi [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Haidian, Peoples R China
来源
2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2013年
关键词
Interior permanent magnet synchronous motor (IPMSM); cyclic fluctuating load; MRAS; sensorless control; fuzzy control; EXTENDED KALMAN FILTER; PMSM;
D O I
暂无
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
Model reference adaptive system (MRAS) is usually employed for rotor position/speed estimation in sensorless IPMSM drives. The adjustment of control parameters in MRAS is one of key issues to enhance the intelligent level of the system, especially for the IPMSM drive system with cyclic fluctuating load. In this paper, an auto-tuning method based on Fuzzy logic is proposed to adjust the control parameters in MRAS automatically, which avoids inconvenient manual tuning. To implement this auto-tuning method, a one-dimensional Fuzzy-MRAS speed estimation mechanism is developed and the Fuzzy rules are designed. In addition, to lower the speed ripple, the motor output torque pattern matching the cyclic fluctuating load is also developed. Experimental results demonstrate the feasibility and effectiveness of the proposed auto-tuning method.
引用
收藏
页码:1010 / 1014
页数:5
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