| 磁悬浮开关磁阻电机的神经网络逆解耦控制 |
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| 引用本文： | 孙玉坤,周云红,嵇小辅.磁悬浮开关磁阻电机的神经网络逆解耦控制[J].中国电机工程学报,2011,31(30). |
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| 作者姓名： | 孙玉坤 周云红 嵇小辅 |
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| 作者单位： | 江苏大学电气信息工程学院,江苏省镇江市,212013 |
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| 基金项目： | 国家自然科学基金项目(61074019,60774044); 江苏高校优势学科建设工程资助项目~~ |
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| 摘 要： | 磁悬浮开关磁阻电机是一个复杂的非线性强耦合系统,且运行过程中容易出现磁饱和现象,增大了数学模型建立及解耦控制的难度。针对上述问题,在利用有限元方法分析其磁场及电磁力特性的基础上,计算了一种对电机磁路线性及饱和状态均适用的新数学模型。分析了系统的可逆性,采用神经网络逆实现了转矩和两自由度径向力的解耦。使用dSPACE系统试验验证了该方法的正确性和有效性,可以弥补现有基于无磁饱和假设的各种建模及相应的解耦控制方法不适用于BSRM磁饱和工况的缺陷,也可以为电机的运行特性分析、本体优化设计以及控制策略研究提供更准确的理论依据。
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| 关 键 词： | 磁悬浮电机 开关磁阻电机 解耦 神经网络逆 |
Decoupling Control of Bearingless Switched Reluctance Motor With Neural Network Inverse System Method |
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| SUN Yukun,ZHOU Yunhong,JI Xiaofu.Decoupling Control of Bearingless Switched Reluctance Motor With Neural Network Inverse System Method[J].Proceedings of the CSEE,2011,31(30). |
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| Authors: | SUN Yukun ZHOU Yunhong JI Xiaofu |
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| Affiliation: | SUN Yukun,ZHOU Yunhong,JI Xiaofu(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu Province,China) |
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| Abstract: | In view of complicated non-linearity,coupling,and magnetic saturation,it is very difficult to gain an accurate mathematic model and realize decoupling for a bearingless switched reluctance motor(BSRM).So after analyzing the magnetic field and force characteristics with finite element method,a novel mathematical model was computed.This model could be fit for both linear and saturated state,and even meet reversible requirement.Then a neural network inverse model was established to decouple BSRM.Lastly,three c... |
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| Keywords: | bearingless motor switched reluctance motor decoupling neural network inverse system |
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