| 基于神经网络的真空烧结炉温度控制系统的研究 |
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| 引用本文： | 谭梅,程春红,吕聪. 基于神经网络的真空烧结炉温度控制系统的研究[J]. 测控技术, 2006, 25(2): 31-32,53 |
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| 作者姓名： | 谭梅 程春红 吕聪 |
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| 作者单位： | 湖南工程学院,电气系,湖南,湘潭,411101 |
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| 摘 要： | 以真空烧结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： | 真空烧结炉 温度控制 BP神经网络 PID控制 |
| 文章编号： | 1000-8829（2006）02-0031-02 |
| 收稿时间： | 2005-06-20 |
| 修稿时间： | 2005-06-20 |
Research on the Temperature Control of Vacuum Sintering Furnace Based on Neural Network |
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| TAN Mei,CHENG Chun-hong,L Cong. Research on the Temperature Control of Vacuum Sintering Furnace Based on Neural Network[J]. Measurement & Control Technology, 2006, 25(2): 31-32,53 |
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| Authors: | TAN Mei CHENG Chun-hong L Cong |
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| Affiliation: | School of Electric, Hunan Institute of Engineering, Xiangtan 411101, China |
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| Abstract: | Taking the temperature controlling system of vacuum sintering furnace as the object of study, the PID controlling method based on BP neural network is put forward, and the system design and software development is also presented. Possessing the arbitrary nonlinear expressiveness, the neural network can help to realize the PID control with the best combinations 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: | vacuum sintering furnace temperature control BP neural network PID control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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