| 基于神经网络的混合速度辨识方法研究 |
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| 引用本文： | 肖金凤,李必文,黄守道.基于神经网络的混合速度辨识方法研究[J].微电机,2005,38(4):34-36. |
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| 作者姓名： | 肖金凤 李必文 黄守道 |
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| 作者单位： | 1. 南华大学,衡阳,421001
2. 湖南大学,长沙,410082 |
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| 摘 要： | 提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。仿真结果表明，基于该速度估计器的矢量控制系统动、静态性能好，解决了瞬时无功模型参考自适应方法在转速给定为负阶跃时的转速不稳定问题，转速估计精度高。
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| 关 键 词： | 转速辨识 神经网络 模型 自适应 |
| 文章编号： | 1001-6848(2005)04-0034-03 |
| 收稿时间： | 2004-09-06 |
| 修稿时间： | 2004-12-06 |
Research on new method of hybrid speed identification based on neural network |
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| XIAO Jin-feng,LI Bi-wen,HUANG Shou-Dao.Research on new method of hybrid speed identification based on neural network[J].Micromotors,2005,38(4):34-36. |
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| Authors: | XIAO Jin-feng LI Bi-wen HUANG Shou-Dao |
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| Abstract: | In this paper a new hybrid speed identification method is proposed.which based on the neural network,combines the open loop estimator and the instantaneous reactive power model reference adaptive system(MRAS).The simulation results show that the vector control system based on this speed estimation has better dynamic and static performance.it solves the instantaneous reactive power in the regenerating mode.and has high estimating precision. |
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| Keywords: | speed identification neural network model reference adaptive system |
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