| 基于BP网络的异步电机无定子电阻的转速估算 |
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| 引用本文： | 张维波,姜波.基于BP网络的异步电机无定子电阻的转速估算[J].烟台大学学报(自然科学与工程版),2008,21(2):120-124. |
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| 作者姓名： | 张维波 姜波 |
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| 作者单位： | 新疆大学电气工程学院,新疆,乌鲁木齐,830008 |
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| 摘 要： | 根据异步电机的数学模型，经过一定的变换，消除异步电动机定子电阻的影响，利用电机易于检测到的定子电压和电流，通过Simulink模块和S-函数建立起自适应神经网络辨识模型．该方法适应范围宽、响应速度快．仿真结果表明：采用该模型估算出的转速具有较高的精度．
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| 关 键 词： | 无定子电阻 模型参考自适应 BP神经网络 转速估算 仿真 |
| 文章编号： | 1004-8820(2008)02-0120-05 |
| 修稿时间： | 2007年12月19 |
Speed Estimation of Induction Motor Based on BP Neural Networks with Non-Stator Resistance |
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| ZHANG Wei-bo,JIANG Bo.Speed Estimation of Induction Motor Based on BP Neural Networks with Non-Stator Resistance[J].Journal of Yantai University(Natural Science and Engineering edirion),2008,21(2):120-124. |
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| Authors: | ZHANG Wei-bo JIANG Bo |
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| Institution: | (Institute of Electrical Engineering, Xinjiang University, Urumqi 830008, China) |
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| Abstract: | The impact of the resistance of induction motor stator can be eliminated by transforming the mathematical model of induction motor. Using easily-measured voltage and current of motor stator, an identification model of self-adaptive neural network is created by Simulink and S-function. This algorithm has wide adaptive range and fast response. The simulation results show that the estimated speed of this algorithm has high accuracy |
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| Keywords: | non-stator resistance MRAS BP neural network speed estimation simulation |
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