Multi-model predictive control method for nuclear steam generator water level

被引：56
|
作者：
Hu, Ke [1 ]
Yuan, Jingqi [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
来源：
ENERGY CONVERSION AND MANAGEMENT | 2008年 / 49卷 / 05期
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
model predictive control; Steam generator; level control; linear parameter varying; linear matrix inequality;
D O I：
10.1016/j.enconman.2007.09.006
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The dynamics of a nuclear steam generator (SG) is very different according to the power levels and changes as time goes on. Therefore, it is an intractable as well as challenging task to improve the water level control system of the SG. In this paper, a robust model predictive control (RMPC) method is developed for the level control problem. Based on a multi-model framework, a combination of a local nominal model with a polytopic uncertain linear parameter varying (LPV) model is built to approximate the system's non-linear behavior. The optimization problem solved here is based on a receding horizon scheme involving the linear matrix inequality (LMI) technique. Closed loop stability and constraints satisfaction in the entire operating range are guaranteed by the feasibility of the optimization problem. Finally, simulation results show the effectiveness and the good performance of the proposed method. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1167 / 1174
页数：8
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