Fuzzy logic rotor position estimation based switched reluctance motor DSP drive with accuracy enhancement

被引：47

作者：

Cheok, AD ^{[1
]}

Wang, ZF ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore

来源：

IEEE TRANSACTIONS ON POWER ELECTRONICS | 2005年 / 20卷 / 04期

关键词：

adaptive neuro-fuzzy inference system (ANFIS); digital signal processor (DSP); fuzzy logic; online phase winding resistance estimator; switched reluctance motor (SRM);

D O I：

10.1109/TPEL.2005.850958

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：

This paper describes a novel angle estimation scheme for a real time digital signal processor (DSP) based switched reluctance motor drive using fuzzy logic where several unique techniques are implemented to improve the estimation accuracy. First, an optimized fuzzy model of the motor was created using an adaptive neuro-fuzzy inference system (ANFIS) based on accurately measured flux linkage data. Secondly, an improved fuzzy optimal sensing phase selector was developed based on the analysis of both modeling error and measurement error. Lastly, a delayless polynomial predictive filter and an online phase winding resistance estimator are also implemented to further improve the position estimation accuracy. Both simulation and experiment results on a DSP based real time drive are presented to show the effectiveness of this scheme.

引用

页码：908 / 921

页数：14

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