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永磁同步电机转子位置提取近似分类支持向量机灰色预测方法

Lei WANG,Ying-hui LI,Xiao-hui ZHU,Xi-hua ZHU,Jing ZHANG

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control（2010）

Cited 4|Views1
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Abstract
针对单一灰色预测方法下磁特性曲线建模对电机不同运行状态区分能力差、概括性不强,由此导致估计误差较大的问题,提出基于支持向量机分类细化特性曲线区,提高用以灰色GM(1,1)预测建模数据指数光滑度,改善转子信息估计精度的灰色近似支持向量机分类预测算法.将此预测方法用于永磁同步电机的矢量控制当中,数值仿真结果证明,引入先期近似支持向量机分类算法后的转子位置灰色预测法可以在较少测试数据集上达到较高的估计精度.
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Key words
Permanent magnet synchronous motors (PMSM),Proximal SVM classifiers based grey model prediction(PSVMC-GMP),Rotor position self-sensing,Sensorless control
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