| Lugre摩擦模型的模糊神经网络辨识仿真研究 |
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| 引用本文： | 刘海荣,刘金琨.Lugre摩擦模型的模糊神经网络辨识仿真研究[J].计算机仿真,2007,24(1):80-82. |
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| 作者姓名： | 刘海荣 刘金琨 |
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| 作者单位： | 1. 大同电力技工学校计算机室,山西,大同,037039
2. 北京航空航天大学自动控制系,北京,100083 |
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| 摘 要： | LuGre模型是典型伺服系统的摩擦模型,该模型能够准确地描述伺服系统摩擦过程复杂的动静态特性.模糊神经网络已成为模糊逻辑和神经网络研究最前沿的课题之一.模糊神经网络同时具有神经网络和模糊逻辑的优点.针对伺服系统所面临的摩擦问题,以低速伺服系统为对象,建立伺服系统的LuGre摩擦模型,采用模糊神经网络进行非线性在线辨识.仿真结果表明,采用模糊神经方法建立对非线性对象的辨识器,具有较高的辨识精度.
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| 关 键 词： | 摩擦模型 模糊控制 神经网络 辨识 摩擦模型 模糊神经 网络辨识 仿真研究 Lugre friction model Identification Fuzzy Neural Network 辨识精度 辨识器 方法 仿真结果 在线辨识 非线性 对象 摩擦问题 课题 网络研究 模糊逻辑 神经网络 静态特性 |
| 文章编号： | 1006-9348（2007）01-0080-03 |
| 修稿时间： | 2005-04-30 |
Simulation of Fuzzy Neural Network Identification with Lugre friction model |
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| LIU Hai-rong,LIU Jin-kun.Simulation of Fuzzy Neural Network Identification with Lugre friction model[J].Computer Simulation,2007,24(1):80-82. |
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| Authors: | LIU Hai-rong LIU Jin-kun |
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| Affiliation: | 1. Datong Electric Technological and Industrial School, Datong Shanxi 037039, China; 2. Automatic Control Department, Beijing University of Aeronautics and Astronautics, Beijing, 100083, China |
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| Abstract: | Lugre friction is a typical friction model of servo system,which is used to describe dynamic and static characteristics of friction phenomenon in servo system. Fuzzy neural network has advantages of both neural network and fuzzy logic control,which has become a promising area in these years.The LuGre friction model is set up according to the friction of low speed servo system.Nonlinear online identification is realized by adopting fuzzy neural network.Simulation indicates high precision identification can be obtained by using fuzzy neural identifier. |
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| Keywords: | Friction model Fuzzy control Neural network Identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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