| RBF神经网络在薄膜厚度控制系统中的应用 |
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| 引用本文： | 李杨帆,蒋品群,罗晓曙,李廷会,隆媛媛.RBF神经网络在薄膜厚度控制系统中的应用[J].现代电子技术,2010,33(5):147-150. |
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| 作者姓名： | 李杨帆 蒋品群 罗晓曙 李廷会 隆媛媛 |
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| 作者单位： | 广西师范大学,电子工程学院,广西,桂林,541004 |
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| 摘 要： | 针对双向拉伸薄膜厚度控制系统中，经典的PID控制器难以达到理想控制效果的问题，设计一个基于RBF神经网络整定的PID控制器。该控制器由RBF网络对系统进行在线辨识，找到最佳控制参数，并将其反馈给PID控制器，从而实现控制器参数的在线调整。仿真结果表明，本控制器具有超调量小，响应速度快和自适应性强等优点，可有效提高双向拉伸薄膜厚度控制系统的性能。
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| 关 键 词： | 薄膜厚度控制 RBF神经网络 PID控制 超调 |
Application of RBF Neural Network in Film Thickness Control System |
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| LI Yangfan,JIANG Pinqun,LUO Xiaoshu,LI Tinghui,LONG Yuanyuan.Application of RBF Neural Network in Film Thickness Control System[J].Modern Electronic Technique,2010,33(5):147-150. |
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| Authors: | LI Yangfan JIANG Pinqun LUO Xiaoshu LI Tinghui LONG Yuanyuan |
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| Affiliation: | LI Yangfan,JIANG Pinqun,LUO Xiaoshu,LI Tinghui,LONG Yuanyuan(College of Electronic Engineering,Guangxi Normal University,Guilin,541004,China) |
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| Abstract: | Since it can＇t acquire satisfied control result by using traditional PID controller in biaxial oriented polypropylene film thickness control system,a PID controller based on RBF neural network is proposed. The RBF neural network is set up on-line reference model and offering gradient information for the PID controller,and on- line adjustment of the controller＇s parameters can be accomplished. The simulating result indicates that the control system is of small overshoot, rapid response and has good self - adaptability, which can improve the control performance of biaxial oriented polypropylene film thickness control system. |
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| Keywords: | film thickness control RBF neural network PID control overshoot |
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