Sliding mode control design for a PWR nuclear reactor using sliding mode observer during load following operation

被引:54
作者
Ansarifar, G. R. [1 ]
Akhavan, H. R. [1 ]
机构
[1] Univ Isfahan, Fac Adv Sci & Technol, Dept Nucl Engn, Esfahan 8174673441, Iran
关键词
Pressurized-water nuclear reactor; Sliding mode control; Sliding mode observer; Point kinetics equations; Xenon concentration; Densities of delayed neutron precursors; POWER;
D O I
10.1016/j.anucene.2014.09.019
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
Reactor power control is one of the most important problems in a nuclear power plant. In this paper, a sliding mode control system which is a robust nonlinear controller is designed to control the Pressurized-Water Nuclear Reactor (PWR) Power. The reactor core is simulated based on the point kinetics equations and three delayed neutron groups. Considering neutron absorber poisons and regarding the limitations of the xenon concentration and delayed neutron precursors densities measurement, a sliding mode observer is designed to estimate their values and finally a sliding mode control based on the sliding mode observer is presented to control the reactor core power. The stability analysis is given by means Lyapunov approach, thus the control system is guaranteed to be stable within a large range. The employed method is easy to implement in practical applications and moreover, the sliding mode control exhibits the desired dynamic properties during the entire output-tracking process independent of perturbations. Simulation results are presented to demonstrate the effectiveness of the proposed controller in terms of performance, robustness and stability. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:611 / 619
页数:9
相关论文
共 20 条
[1]   RULE-BASED FUZZY-LOGIC CONTROLLER FOR A PWR-TYPE NUCLEAR-POWER-PLANT [J].
AKIN, HL ;
ALTIN, V .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1991, 38 (02) :883-890
[2]   Adaptive control of a PWR core power using neural networks [J].
Arab-Alibeik, H ;
Setayeshi, S .
ANNALS OF NUCLEAR ENERGY, 2005, 32 (06) :588-605
[3]   Improved temperature control of a PWR nuclear reactor using an LQG/LTR based controller [J].
Arab-Alibeik, H ;
Setayeshi, S .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2003, 50 (01) :211-218
[4]   An intelligent nuclear reactor core controller for load following operations, using recurrent neural networks and fuzzy systems [J].
Boroushaki, M ;
Ghofrani, MB ;
Lucas, C ;
Yazdanpanah, MJ .
ANNALS OF NUCLEAR ENERGY, 2003, 30 (01) :63-80
[5]  
Drakunov S, 1995, PROCEEDINGS OF THE 34TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, P3376, DOI 10.1109/CDC.1995.479009
[6]   VARIABLE-STRUCTURE CONTROL OF SPACECRAFT ATTITUDE MANEUVERS [J].
DWYER, TAW ;
SIRARAMIREZ, H .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1988, 11 (03) :262-270
[7]   STATE FEEDBACK ASSISTED CLASSICAL CONTROL - AN INCREMENTAL APPROACH TO CONTROL MODERNIZATION OF EXISTING AND FUTURE NUCLEAR-REACTORS AND POWER-PLANTS [J].
EDWARDS, RM ;
LEE, KY ;
SCHULTZ, MA .
NUCLEAR TECHNOLOGY, 1990, 92 (02) :167-185
[8]   Robust nonlinear model predictive control for nuclear power plants in load following operations with bounded xenon oscillations [J].
Eliasi, H. ;
Menhaj, M. B. ;
Davilu, H. .
NUCLEAR ENGINEERING AND DESIGN, 2011, 241 (02) :533-543
[9]  
Hetrick D., 1965, Dynamic of nuclear reactor
[10]  
Jean-Jacques Slotine E., 1991, APPL NONLINEAR CONTR