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| 正弦逆变波形的神经网络内膜控制算法 | |
| 引用本文： | 杨金辉,郜克存,戴瑜兴,洪天宇.正弦逆变波形的神经网络内膜控制算法[J].电子学报,2012,40(7):1345-1350. |
| 作者姓名： | 杨金辉 郜克存 戴瑜兴 洪天宇 |
| 作者单位： | 1. 华为技术有限公司,北京,100095 2. 湖南大学电气与信息工程学院,湖南长沙,410082 3. 温州大学物理与电子信息工程学院,浙江温州325035;湖南大学电气与信息工程学院,湖南长沙410082 4. 斯伦贝谢中国公司,北京,100015 |
| 基金项目： | 住房和城乡建设部科学技术研究开发项目 |
| 摘 要： | 单相逆变电源的输出电压波形质量是衡量其性能的重要指标之一.本文提出了一种正弦逆变波形的神经网络内膜控制算法,建立两个BP神经网络预估器,一个作为单相逆变器的内部模型,预测实际的波形输出;一个根据预测误差建立内模控制器,在线修正和补偿内部模型使之最大程度的匹配单相逆变器.仿真和实验结果表明,该算法克服了系统中存在的不确定... |
| 关 键 词： | 单相逆变电源 内模原理 BP神经网络 波形控制 |
| 收稿时间： | 2010-06-21 |
Output Waveform Control of Single-Phase Inverter Based on Neural Network Internal Model Theory |
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| YANG Jin-hui , GAO Ke-cun , DAI Yu-xing , HONG Tian-yu.Output Waveform Control of Single-Phase Inverter Based on Neural Network Internal Model Theory[J].Acta Electronica Sinica,2012,40(7):1345-1350. | |
| Authors: | YANG Jin-hui GAO Ke-cun DAI Yu-xing HONG Tian-yu |
| Affiliation: | 1.Huawei Technologies Co.Ltd,Beijing 100095,China;2.College of Electrical and Information Engineering,Hunan University,Changsha,Hunan 410082,China;3.College of Physics and Electronic Information Engineering,Wenzhou University,Wenzhou,zhejiang 325035,China;4.Schlumberger China S.A,Beijing 100015,China) |
| Abstract: | The quality of output waveform is one important factor for the single-phase inverter.This paper proposed the algorithm based on neural network internal model theory,which is used for an output sine waveform control.Based on this control algorithm,two back propagation estimate neural networks were established.One is the internal model of single-phase inverter,which is used to estimate the actual output waveform.The other one is used to make the internal model to fit the actual single-phase inverter due to the estimate error.We finished the simulation and experiment,where the algorithm was proved that it could improve the output waveform quality and load compatibility. |
| Keywords: | single-phase inverter internal model theory back propagation neural network waveform control |
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