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| 基于遗传BP网络的PID控制算法在无模拉拔温度控制中的应用 | |
| 引用本文： | 班晓娟,张武军,付璟璐,孙大明. 基于遗传BP网络的PID控制算法在无模拉拔温度控制中的应用[J]. 北京科技大学学报, 2008, 30(12) |
| 作者姓名： | 班晓娟 张武军 付璟璐 孙大明 |
| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083 2. 北京科技大学规划与学科建设办公室,北京,100083 |
| 基金项目： | 国家自然科学基金资助项目 |
| 摘 要： | 将遗传算法与BP神经网络结合,提出了一种利用遗传算法优化BP神经网络权值的智能PID控制算法,改善了系统的动态性能. 通过实验采集数据,拟合出无模拉拔感应加热温度控制系统的数学模型. 采用本文提出的方法进行了仿真实验,结果表明该算法具有较强的快速性和鲁棒性. |
| 关 键 词： | 无模拉拔 温度控制 PID控制算法 遗传算法 BP神经网络 |
Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing |
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| BAN Xiaojuan,ZHANG Wujun,FU Jinglu,SUN Daming. Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing[J]. Journal of University of Science and Technology Beijing, 2008, 30(12) | |
| Authors: | BAN Xiaojuan ZHANG Wujun FU Jinglu SUN Daming |
| Affiliation: | BAN Xiaojuan1),ZHANG Wujun2),FU Jinglu1),SUN Daming1)1)School of Information Engineering,University of Science , Technology Beijing,Beijing 100083,China2)Office of Planning , Disciplines,China |
| Abstract: | In combination of genetic algorithm with BP network,a new intelligent PID control algorithm was designed using genetic algorithm to optimize the parameters of BP neural network,which improve the dynamic performance of a temperature control system.The temperature control system model of a dieless drawing system was fitted with collected experimental data.Simulation results show that the proposed model has a better rapidity and robustness. |
| Keywords: | dieless drawing temperature control PID control algorithm genetic algorithm(GA) BP neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |