| 基于神经元网络的电机换相控制 |
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| 引用本文： | 毛怿弘,邹俊忠,姚晓东,王行愚.基于神经元网络的电机换相控制[J].东南大学学报(自然科学版),2003,33(Z1):134-136. |
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| 作者姓名： | 毛怿弘 邹俊忠 姚晓东 王行愚 |
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| 作者单位： | 华东理工大学信息学院,上海,200237 |
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| 摘 要： | 无刷直流电机(BLDCM)一般是通过位置传感器产生正确的换相信息实现控制,而在无位置无刷直流电机中,一般通过检测反电动势过零点间接获得换相时刻,但是由于电机的非线性动态特性、温度、转速等因素的影响,难以得到准确的信息.本文利用神经网络的非线性任意逼近特性,提出一种基于神经元网络的电机相位补偿控制.首先由硬件电路获得有效的反电动势信息,再利用BP神经网络的方法进行正确的补偿相位,实现无位置无刷直流电机的控制.
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| 关 键 词： | 无位置 无刷直流电机 换相 BP神经网络 |
| 文章编号： | 1001-0505(2003)增刊-0134-03 |
| 修稿时间： | 2003年5月15日 |
Angle commutation compensation of the brushless DC motor based on BP neural networks |
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| Mao Yihong,Zou Junzhong,Yao Xiaodong,Wang Xingyu.Angle commutation compensation of the brushless DC motor based on BP neural networks[J].Journal of Southeast University(Natural Science Edition),2003,33(Z1):134-136. |
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| Authors: | Mao Yihong Zou Junzhong Yao Xiaodong Wang Xingyu |
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| Abstract: | Usually, the accurate commutation information is obtained through the sensors to control the brushless DC motor (BLDCM).So it is necessary to decide the commutation angle properly in the sensorless DC motor control system, however, due to the dynamic nonlinearity, temperature and the rotor speed, it is difficult to get the right time to commutation. In this paper, BP neural network is used to compensate the commutation angle after the circuits detection of the basic information of the back EMF. This method can obtain the proper time for current to change phase. |
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| Keywords: | sensorless brushless DC motor commutation BP neural network |
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