A Study of CMAC Neural Network Generalized Predictive Control for Generating Unit

被引：0

作者：

Sun, Tao ^{[1
]}

Ling, Hujun ^{[1
]}

Yuan, Licong ^{[1
]}

机构：

[1] Inner Mongolia Polytech Univ, Hohhot, Peoples R China

来源：

PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2013年

关键词：

CMAC neural network; Generalized predictive control; Generating unit;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Large thermal power unit is complex, nonlinear, big lag system. Using the traditional control method is difficult to get the best running effect. And in neural network modeling based on multivariable generalized predictive control strategy, has wide range, strong robustness etc, and can effectively make up for the deficiency. Based on the Cerebellar Model Articulation Controller neural network modeling, after the online rolling optimization and feedback correction, realize the predictive control. The simulation results show its validity.

引用

页码：329 / 332

页数：4

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