| 基于RBF神经网络的控制系统PID调节器的设计 |
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| 引用本文： | 黄金花,刘继清.基于RBF神经网络的控制系统PID调节器的设计[J].武汉船舶职业技术学院学报,2009,8(5):50-52,56. |
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| 作者姓名： | 黄金花 刘继清 |
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| 作者单位： | 武汉船舶职业技术学院,湖北武汉,430050 |
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| 摘 要： | 为了改善传统PID控制器的控制效果,采用RBF神经网络对控制系统PID参数进行自整定。分析了RBF神经网络PID整定原理,给出了相应的实例,并对该系统进行了仿真分析。仿真结果表明,采用RBF神经网络整定的PID控制器快速性好,自适应力强,具有良好的控制品质。
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| 关 键 词： | RBF神经网络 PID调节器 控制系统 |
The Design of PID Regulator in Control System Based on Neural Networks |
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| HUANG Jin-hua,LIU Ji-qing.The Design of PID Regulator in Control System Based on Neural Networks[J].Journal of Wuhan Institute of Shipbuilding Technology,2009,8(5):50-52,56. |
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| Authors: | HUANG Jin-hua LIU Ji-qing |
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| Institution: | (Wuhan Institute of Shipbuilding Technology, Wuhan, 430050,China) |
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| Abstract: | To improve the controlling effect of them,this paper uses RBF Neural networks to regulate the parameters of PID controller.First,it analyzes the control principle of RBF neural networks,then simulate the output of the control system using RBF neural networks in the regulating of PID parameters on the platform of software MATLAB.The result says： it has more quick response,good adaption and perfect control quality compared with traditional PID controller. |
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| Keywords: | Radial Basis Function Neural Networks PID Regulator Control System |
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