DocumentCode :
3572669
Title :
Robust constrained state feedback IH-MPC based on LMI for a PWR nuclear power plant
Author :
Mengyue Wang ; Xiangjie Liu
Author_Institution :
Sch. of Control & Comput. Eng., Univ. of North China Electr. Power Univ., Beijing, China
fYear :
2014
Firstpage :
1219
Lastpage :
1224
Abstract :
A new approach for power and temperature control in pressurized water reactor (PWR) nuclear power plant using robust constrained state feedback infinite horizon model predictive control (IH-MPC) is presented. MPC is possibly the only advanced control scheme able to deal with constraints, namely, it can regulate and control variables of the system within the pre-defined ranges. Nevertheless, conventional MPC performs poorly for systems with uncertainty. In this pater, polytopic uncertain description of the nonlinear plant by linear time varying (LTV) model is used to approximate the real plant, based on which and combined with the state feedback control law, a robust IH-MPC controller is devised for better closed-loop robust stability in the presence of constraints, which can be ensured by solving min-max optimization problem via linear matrix inequality (LMI) method. Satisfactory performance is obtained in the simulation for load following operation.
Keywords :
closed loop systems; linear matrix inequalities; minimax techniques; nuclear power stations; power control; power generation control; predictive control; robust control; temperature control; time-varying systems; LMI method; LTV model; PWR nuclear power plant; closed-loop robust stability; linear matrix inequality method; linear time varying model; min-max optimization problem; nonlinear plant; polytopic uncertain description; power control; pressurized water reactor nuclear power plant; robust IH-MPC controller; robust constrained state feedback infinite horizon model predictive control; state feedback control law; temperature control; Coolants; Inductors; Power generation; Robustness; State feedback; Uncertainty; Nuclear power plant; linear matrix inequality; model predictive control; power and temperature control; robust stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7052893
Filename :
7052893
Link To Document :
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