| 基于神经网络的铸坯凝固过程自适应控制 |
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| 引用本文： | 郭戈,王伟,柴天佑. 基于神经网络的铸坯凝固过程自适应控制[J]. 兰州理工大学学报, 2002, 28(1): 62-64 |
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| 作者姓名： | 郭戈 王伟 柴天佑 |
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| 作者单位： | 甘肃工业大学,电气工程与信息工程学院,甘肃,兰州,730050;大连理工大学,辽宁,大连,116024;东北大学,辽宁,沈阳,110006 |
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| 基金项目： | 国家自然科学基金(69635010) |
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| 摘 要： | 对铸坯冷却过程模型进行了改进,同时采用最小方差自适应控制策略和多层前馈神经网络技术,设计了一种铸坯表面温度自适应控制器,该方法克服了传统的拉速配水和根据传热学模型控制喷水的不足,具有一定的实用价值.
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| 关 键 词： | 连铸 凝固 神经网络 自适应控制 |
| 文章编号： | 1000-5889(2002)01-0062-03 |
| 修稿时间： | 2001-06-01 |
Adaptive control of slab solidification with neural networks |
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| GUO Ge,WANG Wei,CHAI Tian-you. Adaptive control of slab solidification with neural networks[J]. Journal of Lanzhou University of Technology, 2002, 28(1): 62-64 |
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| Authors: | GUO Ge WANG Wei CHAI Tian-you |
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| Abstract: | A new model describing slab solidification procedure is presented. On the basis of this model, a least mean square (LMS) adaptive control strategy is developed and realized by using two multi-layer neural networks. It can eliminate the inaccurate and uneven temperature distribution over the slab, which is usual in continuous casting with traditional cooling control systems. |
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| Keywords: | continuous casting solidification neural network adaptive control |
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