| 基于模糊神经网络的无刷双馈电机的仿真研究 |
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| 引用本文： | 王晓远,王硕,程剑飞.基于模糊神经网络的无刷双馈电机的仿真研究[J].系统仿真学报,2006,18(12):3468-3471. |
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| 作者姓名： | 王晓远 王硕 程剑飞 |
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| 作者单位： | 天津大学电气与自动化工程学院,天津,300072 |
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| 摘 要： | 研究了模糊神经网络在无刷双馈电机调速系统中的应用,给出了基于神经元网络模糊控制器的基本设计方法。并利用Matlab软件对基于模糊神经网络的无刷双馈电机调速系统进行了仿真。仿真实验表明,与传统的PID控制相比,当电机在转速或者负载发生改变时,利用该控制方法可以获得更好的系统动静态性能。
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| 关 键 词： | 无刷双馈电机 模糊神经网络 仿真 学习算法 |
| 文章编号： | 1004-731X（2006）12-3468-04 |
| 收稿时间： | 2005-09-15 |
| 修稿时间： | 2005-11-28 |
Simulation of Adjustable Speed Drive System of Brushless Doubly-Fed Machines Based on Fuzzy Neural Network |
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| WANG Xiao-yuan,WANG Shuo,CHENG Jian-fei.Simulation of Adjustable Speed Drive System of Brushless Doubly-Fed Machines Based on Fuzzy Neural Network[J].Journal of System Simulation,2006,18(12):3468-3471. |
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| Authors: | WANG Xiao-yuan WANG Shuo CHENG Jian-fei |
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| Abstract: | The application of fuzzy neural network(FNN) in Brushless Doubly-Fed Machines (BDFM) for adjustable speed drive are presented, and the method to construct neural-network-based fuzzy controller is given. Simulation system of brushless doubly-fed machine based on fuzzy neural network has been carried out with Matlab. By comparing with conventional PID control, the simulation results show that the performance for the system are improved by using the FNN controller when the rotating speed or the load changes. |
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| Keywords: | BDFM fuzzy neural network simulation learning arithmetic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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