Multi-model Predictive Control based on Neural Network and Its Application in Power Plant

被引：0
|
作者：
Hou, Guolian [1 ]
Bai, Xu [1 ]
Zhang, Jinfang [1 ]
Zhao, Zhilong [1 ]
机构：
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
来源：
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年
关键词：
Multi-model predictive control; constrained multi-model predictive control; neural network; Bell-angstrom strom model;
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：
In this paper, the algorithm of multi-model predictive control based on neural network is proposed and applied in 160MW Bell-angstrom strom model. Firstly, the algorithm is described. Each sub-controller is designed based on state space model predictive control, and the global controller is gained from neural network weights. Then, sub-models of Bell-angstrom strom are given. Lastly, multi-model predictive control and constrained multi-model predictive control are applied in Bell-angstrom strom model. The algorithm is effective in controlling the unit and has good performance.
引用
收藏
页码：4379 / 4383
页数：5
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