| 基于RBF神经网络的感应电机优化控制研究 |
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| 引用本文： | 胡浩,何子辉.基于RBF神经网络的感应电机优化控制研究[J].船电技术,2012(2):44-47. |
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| 作者姓名： | 胡浩 何子辉 |
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| 作者单位： | [1]中国人民解放军91872部队,北京102442 [2]上海航天控制技术研究所,上海200233 |
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| 摘 要： | 在对磁链定向下感应电机损耗模型进行了详细的分析基础上,针对电机转矩和转速与最优励磁电流存在严重的非线性关系,文中提出一种径向基神经网络控制方法并建立电机效率优化控制模型,对电机进行最大效率优化控制。仿真结果表明该系统运行效率明显提高,降低了电机损耗。
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| 关 键 词： | 感应电机 神经网络 最大效率 控制电机 损耗模型 |
Research on Efficiency-optimization Control of Induction Motor Based on RBF Neural-network |
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| Hu Hao,He Zihui.Research on Efficiency-optimization Control of Induction Motor Based on RBF Neural-network[J].Marine Electric & Electronic Technology,2012(2):44-47. |
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| Authors: | Hu Hao He Zihui |
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| Institution: | 1. PLA Troop No.91872, Beijing 102442; 2.Shanghai Institute of Spaceflight Control Technology, Shanghai 200233, China) |
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| Abstract: | Based on the analysis of induction motor loss model, and aimed at the complicated nonlinear relation between the torque and rotational speed with optimal excitation, this paper puts forward a RBF neural network and establishes the model of induction motor efficiency optimization. It ues the MATLAB to simulate the system. The experimental results show the system＇s efficiency is improved and the loss of induction motor is reduced significantly. |
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| Keywords: | induction motor neural network efficiency optimization control loss model |
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