| 基于BP神经网络的PID控制器研究 |
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| 引用本文： | 周延延,吴晓燕,李刚.基于BP神经网络的PID控制器研究[J].空军工程大学学报,2007,8(4):45-48. |
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| 作者姓名： | 周延延 吴晓燕 李刚 |
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| 作者单位： | 空军工程大学导弹学院 陕西三原713800 |
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| 摘 要： | 从BP神经网络的基本原理、学习规则和学习算法出发,研究了基于BP神经网络的PID控制方法,采用3层前向网络及动态BP算法,取得了较高的控制品质。仿真结果表明,基于BP神经网络的PID控制方法在处理非线性和时变系统时具有很强的鲁棒性。
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| 关 键 词： | BP神经网络 PID控制器 鲁棒性 |
| 文章编号： | 1009-3516（2007）04-0045-04 |
| 修稿时间： | 2007-03-23 |
Research on PID Controller Based on BP Neural Networks |
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| ZHOU Yan-yan,WU Xiao-yan,LI Gang.Research on PID Controller Based on BP Neural Networks[J].Journal of Air Force Engineering University(Natural Science Edition),2007,8(4):45-48. |
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| Authors: | ZHOU Yan-yan WU Xiao-yan LI Gang |
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| Institution: | The Missile Institute, Air Force Engineering University, Sanyuan 713800, Shaanxi, China |
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| Abstract: | PID control based on BP neural networks,proceeding from the basic principle,learning rules and algorithms of BP neural networks,is introduced in this paper.Better control qualities are obtained by using the dynamic BP algorithms of three-layer networks.Simulation results indicate that the PID control based on BP neural networks displays a strong robustness in dealing with the nonlinear and uncertain system. |
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| Keywords: | BP neural network PID controller robustness |
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