Robust nonlinear model predictive control for a PWR nuclear power plant

被引:93
作者
Eliasi, H. [1 ]
Menhaj, M. B. [2 ]
Davilu, H. [1 ]
机构
[1] Amirkabir Univ Technol, Dept Nucl Engn, Tehran, Iran
[2] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
关键词
PWR nuclear power plants; Model predictive control; Constrained nonlinear systems; Robust control; STABILITY; REACTORS; SYSTEMS;
D O I
10.1016/j.pnucene.2011.06.004
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
One of the important operations in nuclear power plants is power control during load following in which many robust constraints on both input and measured variables must be satisfied. This paper proposes a robust nonlinear model predictive control for the load-following operation problem by considering some robust constraints on both input and output variables. The controller imposes restricted state constraints on the predicted trajectory during optimization which guarantees robust satisfaction of state constraints without restoring to a min-max optimization problem. Simulation results show that the proposed controller for the load-following operation is quite effective while the constraints are robustly kept satisfied. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:177 / 185
页数:9
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