| 引用本文: | 张强,冯树兴 ,岳巍强 .基于神经网络的大容积环境温度模拟系统的控制策略[J].控制理论与应用,2006,23(3):429~432.[点击复制] |
| ZHANG Qiang,FENG Shu-xing,YUE Wei-qiang.Control strategy of large volume temperature simulating system based on neural networks[J].Control Theory and Technology,2006,23(3):429~432.[点击复制] |
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| 基于神经网络的大容积环境温度模拟系统的控制策略 |
| Control strategy of large volume temperature simulating system based on neural networks |
| 摘要点击 1504 全文点击 1052 投稿时间：2004-09-30 修订日期：2005-09-09 |
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| DOI编号 10.7641/j.issn.1000-8152.2006.3.019 |
| 2006,23(3):429-432 |
| 中文关键词 温度系统 Bang-Bang控制 神经网络 PID控制 |
| 英文关键词 temperature system Bang-Bang control neural network PID control |
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| 中文摘要 |
| 大容积环境温度模拟系统具有非线性、大时间常数和慢时变等特点,常规的控制方法难以获得满意的控制效果.本文提出了一种三段式控制策略,在远离设定值时采用Bang-Bang控制或分段逼近控制,以实现控制的快速性;在接近设定值时应用神经网络进行过渡控制,以抑制超调;在达到设定值时采用神经网络PID控制,以克服慢时变漂移,同时给出了各段的控制算法和转换公式.经实际应用证明本文提出的方法是有效的. |
| 英文摘要 |
| Nonlinearity,big time-constant and slow time-variation are some characteristics of large volume temperature simulating system,and it is difficult to get a perfect result through normal control method.A new control method consists of three phases is presented in this paper.When the temperature is far away from the target,Bang-Bang control is applied so as to achieve fast control.When it is close to the target,neural network control is used in order to restrain overshooting.Once it arrives at the target,PID control is adopted to overcome the effect of slow time-variation.In addition,the control and switching algorithms of each phase are also established.Finally,a practical application example is given to prove the effectiveness of the proposed approach. |
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