| 基于GGAP-RBF神经网络逆的复杂多电机系统同步控制 |
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| 引用本文： | 张今朝,刘国海.基于GGAP-RBF神经网络逆的复杂多电机系统同步控制[J].控制工程,2011,18(1):31-34,38. |
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| 作者姓名： | 张今朝 刘国海 |
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| 作者单位： | 1. 江苏大学电气信息工程学院,江苏,镇江,212013;嘉兴学院机电工程学院,浙江,嘉兴,314001
2. 江苏大学电气信息工程学院,江苏,镇江,212013 |
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| 基金项目： | 国家自然科学基金资助项目(60874014); 教育部博士点基金资助项目(2005029909); 江苏省自然科学基金资助项目(BK2007099) |
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| 摘 要： | 针对以矢量控制工作方式的复杂多电机同步系统,以3台电机同步系统为研究对象,证明了该系统可逆,提出了基于增长和修剪的RBF(GGAP-RBF)神经网络逆的多电机同步控制方法.将RBF神经网络逆串接在三电机系统之前,组成由速度和张力子系统组成的伪线性复合系统,分别对速度和张力子系统设计闭环控制器,实现了对速度和张力的解耦控...
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| 关 键 词： | 多电机 GGAP-RBF 神经网络逆 解耦控制 |
GGAP-RBF Neural Network Inverse Synchronous Control of Complex Multi-motor System |
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| ZHANG Jin-zhao,LIU Guo-hai.GGAP-RBF Neural Network Inverse Synchronous Control of Complex Multi-motor System[J].Control Engineering of China,2011,18(1):31-34,38. |
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| Authors: | ZHANG Jin-zhao LIU Guo-hai |
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| Affiliation: | ZHANG Jin-zhao1,2,LIU Guo-hai1(1.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China,2.School of Mechanical & Electrical Engineering,Jiaxing University,Jiaxing 314001,China) |
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| Abstract: | Three-motor synchronous system is proved to be invertible.A method of generalized growing and pruning RBF(GGAP-RBF)neural network inverse for synchronous control of multi-motor system is proposed.The inverse can be constructed by combining the RBF neural network with an integrator.And the speed and tension control of three-motor system is decoupled by combing the inverse RBF neural network with the three-motor system.Through growing and pruning RBF neural network,according to the given performance index,the... |
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| Keywords: | multi-motor GGAP-RBF neural network inverse decoupling control |
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