| 淬火炉温度的自适应神经PID控制 |
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| 引用本文： | 谭梅,李枚毅,周琴.淬火炉温度的自适应神经PID控制[J].湖南工程学院学报(自然科学版),2007,17(3):19-21. |
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| 作者姓名： | 谭梅 李枚毅 周琴 |
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| 作者单位： | 1. 湘潭大学,信息工程学院,湖南,湘潭,411105
2. 上海电机学院,电气工程系,上海,200240 |
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| 摘 要： | 以淬火炉温度控制系统为研究对象,提出了一种基于BP神经网络整定的PID控制方法,并给出了系统设计及软件开发.由于神经网格所具有的任意非线性表达能力,可以通过对系统性能的学习来实现具有最佳组合的PID控制.实验结果表明,用该方法整定的PID控制系统,逼近精度高,鲁棒性好.
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| 关 键 词： | 淬火炉 温度控制 BP神经网络 PID控制 |
| 文章编号： | 1671-119X(2007)03-0019-03 |
| 修稿时间： | 2007年3月8日 |
Self-adaptive Neural PID Control for Temperature of Quench Furnace |
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| TAN Mei,LI Mei-yi,ZHOU Qin.Self-adaptive Neural PID Control for Temperature of Quench Furnace[J].Journal of Hunan Institute of Engineering(Natural Science Edition),2007,17(3):19-21. |
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| Authors: | TAN Mei LI Mei-yi ZHOU Qin |
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| Abstract: | Taking the temperature controlling system of Quench furnace as the object of study,the PID controlling method based on BP neural network is put forward.The system design and software development are also presented.With the arbitrary nonlinear expressiveness,the neural network can help to realize the PID control with the best combination by means of the understanding of the system performance.The network has high precision and good robustness.Results of the experiment are satisfactory and prove the method to be feasible and effective. |
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| Keywords: | quench furnace temperature control BP neural network PID control |
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