| 基于改进BP网络的SR电机转子位置间接检测研究 |
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| 引用本文： | 张文栋. 基于改进BP网络的SR电机转子位置间接检测研究[J]. 机械制造与自动化, 2007, 36(1): 122-123 |
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| 作者姓名： | 张文栋 |
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| 作者单位： | 河海大学,电气工程学院,江苏,南京,210098 |
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| 摘 要： | 针对标准BP算法收敛速度慢,容易陷入局部极小的缺点,介绍几种改进措施.通过对比选择Levenberg-Marquardt优化方法并将其用于SR电机转子位置间接检测,采用两个神经网络分段来解决训练样本高度非线性问题.
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| 关 键 词： | SR电机 BP网络 位置检测 |
| 文章编号： | 1671-5276（2007）01-0122-02 |
| 修稿时间： | 2006-08-16 |
Indirect Detecting Rotor Position of SR Motor Based on Improved BP Neural Networks |
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| ZHANG Wen-dong. Indirect Detecting Rotor Position of SR Motor Based on Improved BP Neural Networks[J]. Machine Building & Automation, 2007, 36(1): 122-123 |
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| Authors: | ZHANG Wen-dong |
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| Affiliation: | Hohai University, Nanjing 210098, China |
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| Abstract: | Aiming at the disadvantages of BP arithmetic about slow constringency speed and plunging into part pole easily, several improved measures are introduced in this article. By comparing and choosing optimal method of Levenberg Marquardt, it is used in indirect detecting rotor position of SR motor. Two neural networks are adopted to resolve the problem of high nor/linearity of training stylebook. |
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| Keywords: | SR motor BP neural networks position detection |
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