| 基于模糊神经网络空间矢量调制的直接转矩控制 |
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| 引用本文： | 蔡斌军. 基于模糊神经网络空间矢量调制的直接转矩控制[J]. 湖南工程学院学报(自然科学版), 2011, 21(1): 4-8 |
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| 作者姓名： | 蔡斌军 |
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| 作者单位： | 湖南工程学院,应用技术学院,湘潭,411101 |
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| 基金项目： | 湖南省教育厅科研资助项目 |
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| 摘 要： | 为了改善基于空间矢量调制的直接转矩系统的动态性能及低速性,分析了传统SVM-DTC中采用两个PI控制器来产生参考电压矢量,存在PI控制器参数难以确定的问题,提出了一种基于模糊-神经网络空间矢量调制(SVM)的异步电机直接转矩控制(DTC)策略.阐述了产生磁链参考电压矢量的模糊控制器和产生转矩参考电压矢量的神经网络控制器...
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| 关 键 词： | 直接转矩控制 空间矢量调制 模糊控制 神经网络 低速性 |
Direct Torque Control Based on Fuzzy-neural Network Space Vector Modulate |
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| CAI Bin-jun. Direct Torque Control Based on Fuzzy-neural Network Space Vector Modulate[J]. Journal of Hunan Institute of Engineering(Natural Science Edition), 2011, 21(1): 4-8 |
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| Authors: | CAI Bin-jun |
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| Affiliation: | CAI Bin-jun(College of Applied Techndogy,Hunan Institute of Engineering,Xiangtan 411101,China) |
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| Abstract: | To improve SVM-DTC system low-speed performance,two PI controllers are used to generate reference voltage vector in conventional SVM-DTC.The parameters of PI controller are difficult to determine.A new direct control(DTC) strategy of induction motors based on fuzzy-neural space vector modulation(SVM) is proposed.The flux fuzzy controller has two inputs(flux error and its change rate) and one output(the flux component of reference voltage vector),while the torque neural network controller has two inputs(flux... |
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| Keywords: | direct torque control SVM fuzzy controller neural network low-speed performance |
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