| 自回归神经网络在主汽温控制中的应用 |
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| 引用本文： | 辛开远,金秀章,杨玉华. 自回归神经网络在主汽温控制中的应用[J]. 华北电力大学学报(自然科学版), 2001, 28(1): 43-48 |
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| 作者姓名： | 辛开远 金秀章 杨玉华 |
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| 作者单位： | 1. 华北电力大学计算科学与信息系,
2. 华北电力大学动力工程系, |
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| 摘 要： | 提出了自回归神经网络拓朴结构及其训练算法，把具有两个“自回归神经网络”的复合控制系统用于主汽温控制，一个作为辨识器，另一个作为控制器。仿真结果验证了该控制系统的优越性能，可知在过程控制领域中，神经网络在处理困难问题上，有良好的发展潜力。
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| 关 键 词： | 自回归神经网络 DBP算法 辨识器 控制器 |
| 文章编号： | 1007-2691(2001)01-0043-06 |
| 修稿时间： | 2000-05-16 |
Application of Self Recurrent Neural Network in Temperature Control of Boiler Main Steam |
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| XIN Kai-yuan,JIN Xiu-zhang,YANG Yu-hua. Application of Self Recurrent Neural Network in Temperature Control of Boiler Main Steam[J]. Journal of North China Electric Power University, 2001, 28(1): 43-48 |
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| Authors: | XIN Kai-yuan JIN Xiu-zhang YANG Yu-hua |
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| Abstract: | The self recurrent neural network (SRNN) and its training algorithm are presented. A SRNN-based control system incorporating an identifier and a controller is applied to temperature control of boiler main steam. The good performance of the proposed control system is proved by simulation results. The neural network control approach is supposed to have the potential for handling difficult problems in process control systems. |
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| Keywords: | self recurrent neural network DBP algorithm identifier controller |
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