Neural Network Torque Estimator for Switched Reluctance Motor

被引：0
|
作者：
Pavlitov, Constantin [1 ]
Chen Hao
Gorbounov, Yassen [1 ]
Georgiev, Tzanko [1 ]
Xing Wang [2 ]
Zan Xiaoshu [2 ]
机构：
[1] Tech Univ, Kliment Ohridski Blvd 8, Sofia 1000, Bulgaria
[2] China Univ Min & Tech, Xuzhou 221116, Peoples R China
来源：
EPE: 2009 13TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS, VOLS 1-9 | 2009年
关键词：
Switched reluctance drive; Neural network; Estimation technique; Modelling;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The neural network torque estimator is based on the identification model of SR motors. It is derived from this model using the concept of superposition of elementary models. The estimator can be applied in SRM controllers where the limitation of dynamic torque is of importance. It is also useful for torque ripple reduction.
引用
收藏
页码：234 / +
页数：2
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