| 一种基于神经网络的精馏塔自适应控制器设计 |
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| 引用本文： | 郭淑会,李树荣. 一种基于神经网络的精馏塔自适应控制器设计[J]. 山东大学学报(工学版), 2005, 35(3): 5-8 |
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| 作者姓名： | 郭淑会 李树荣 |
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| 作者单位： | 中国石油大学,信息与控制工程学院,山东,东营,257061;中国石油大学,信息与控制工程学院,山东,东营,257061 |
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| 摘 要： | 针对两输入两输出的隐含非线性系统,设计了一种神经网络自适应控制器,并通过构造Lyapunov函数,得出新的权值变化规律.该方法基于Lyapunov稳定性理论,可证明闭环系统是半全局一致最终有界的(SGUUB).从二元精馏塔奇异摄动简化模型的仿真结果可以看出,这种控制器有良好的跟踪效果.
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| 关 键 词： | 神经网络 自适应控制 非线性系统 精馏塔 |
| 文章编号： | 1672-3961(2005)03-0005-04 |
| 修稿时间： | 2005-01-20 |
Neural network based adaptive controller design for a distillation column |
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| GUO Shu-hui,LI Shu-rong. Neural network based adaptive controller design for a distillation column[J]. Journal of Shandong University of Technology, 2005, 35(3): 5-8 |
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| Authors: | GUO Shu-hui LI Shu-rong |
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| Abstract: | An adaptive neural network controller is designed for a class of implicit nonlinear systems with two inputs and two outputs. A new weight learning algorithm is obtained by choosing Lyapunov function. This method based on Lyapunov theory and the closed-loop system can be proven to be semi-globally uniformly ultimately bounded (SGUUB). It can be seen from the simulation of the singular perturbation model of distillation column that the controller has good performance for implicit systems. |
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| Keywords: | neural network adaptive control nonlinear systems distillation columns |
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