| Speed-Sensorless Control Using Elman Neural Network |
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| 作者姓名： | 谢庆国 万淑芸 易燕春 赵金 沈轶 |
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| 基金项目： | This project was supported by the National Natural Science Foundation of China (No. 69874086). |
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| 摘 要： | 1. INTanDUCTIONControlling induction motor without sensor is available nowadays. In order to aclileve two-level closed lOops,i. e., digital current lOop and digital speed loop, it is necessary to sense.and digitize the motor phase currentand motor speed. Howver, the sensors involved have the followillg disadvantages. First, they aJre eXPensiveand make up a significan portion of the total cost. Second, they may result in electrical or mechaulcal fault.Based on speed estimation, it is pos…
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Speed-Sensorless Control Using Elman Neural Network |
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| XIE Qingguo,Wan Shuyun,Yi Yanchun,Zhao Jin,Shen Yi.Speed-Sensorless Control Using Elman Neural Network[J].Journal of Systems Engineering and Electronics,2001,12(4). |
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| Authors: | XIE Qingguo Wan Shuyun Yi Yanchun Zhao Jin Shen Yi |
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| Abstract: | This paper describes a modified speed-sensorless control for induction motor (IM) based on space vector pulse width modulation and neural network. An Elman ANN method to identify the IM speed is proposed,with IM parameters employed as associated elements. The BP algorithm is used to provide an adaptive estimation of the motor speed. The effectiveness of the proposed method is verified by simulation results. The implementation on TMS320F240 fixed DSP is provided. |
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| Keywords: | Induction motor Speed-sensorless Field orientated control Elman neural network Digital signal processor |
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