| BP网络在无刷直流电机参数辨识与控制中的应用 |
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| 引用本文： | 亓涛,姚晓东.BP网络在无刷直流电机参数辨识与控制中的应用[J].微电机,2005,38(6):58-60,44. |
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| 作者姓名： | 亓涛 姚晓东 |
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| 作者单位： | 华东理工大学信息科学与工程学院,上海,200237 |
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| 摘 要： | 在无刷直流电机控制系统中，采用基于熵类误并准则学习算法的BP网络，克服了传统BP算法收敛速度慢，易收敛于局部极小值的缺点，避免了“过学习”的现象，实现了控制系统中电机参数的实时辨识，从而提高了控制系统的性能。
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| 关 键 词： | 无刷直流电机 参数辨识 BP神经网络 |
| 文章编号： | 1001-6848（2005）06-0058-03 |
| 收稿时间： | 2005-05-17 |
| 修稿时间： | 2005-05-17 |
Identification and Control of Brushless DC Motors Using BP Neural Networks |
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| QI Tao,YAO Xiao-dong.Identification and Control of Brushless DC Motors Using BP Neural Networks[J].Micromotors,2005,38(6):58-60,44. |
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| Authors: | QI Tao YAO Xiao-dong |
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| Affiliation: | East China University of Science and Technology,Shanghai 200237,China |
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| Abstract: | A new BP algorithm based on the entropy function criterion is presented as an aid to brushless DC motor parameters identification and control,which is proved to be faster than standard BP algorithm in convergence and making the proceeding fall into global minimal. The use of the proposed method makes the drives system robust, accurate and insensitive to parameter variations. |
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| Keywords: | brushless de motor parameters identification BP neural networks |
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