| 小脑模型与PID复合控制在板厚控制系统中的应用研究 |
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| 引用本文： | 孟祥良,刘颖,刘鸿飞. 小脑模型与PID复合控制在板厚控制系统中的应用研究[J]. 机电产品开发与创新, 2007, 20(1): 135-137 |
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| 作者姓名： | 孟祥良 刘颖 刘鸿飞 |
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| 作者单位： | 北京科技大学,机械工程学院,北京,100083;北京科技大学,机械工程学院,北京,100083;北京科技大学,机械工程学院,北京,100083 |
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| 摘 要： | 板带材轧制过程中AGC (Automatic Gauge Control)控制系统具有高度非线性和时变性的特点,现有的传统PID调节很难再进一步提高其控制精度,本文提出一种基于小脑模型神经网络和传统PID复合控制的控制策略.仿真研究表明,该复合控制算法提高了系统的控制精度,加快了系统的响应速度,并且具备较强的抗干扰能力.
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| 关 键 词： | AGC 小脑模型神经网络 PID |
| 文章编号： | 1002-6673（2007）01-135-03 |
| 收稿时间： | 2006-11-07 |
| 修稿时间： | 2006-11-07 |
Research about the Application of CMAC and PID Controller in AGC System |
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| MENG Xiang-Liang,LIU Ying,LIU Hong-Fei. Research about the Application of CMAC and PID Controller in AGC System[J]. Development & Innovation of Machinery & Electrical Products, 2007, 20(1): 135-137 |
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| Authors: | MENG Xiang-Liang LIU Ying LIU Hong-Fei |
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| Affiliation: | College of Mechanical Engineeting, University of Science and Technology Beijing, Beijing 100083, China |
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| Abstract: | During the strip rolling process,AGC is a very complicated nonlinear and time varying system.It is very difficult to improve the precision of AGC using PID.A control strategy based on CMAC and PID is used to the system.The simulations show that this strategy improves the precision of control,the speed of responding,and has the better capability of anti-jamming. |
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| Keywords: | AGC CMAC Neural Network PID |
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