Control of the Nuclear Pressurizer Using Model Predictive Control
https://doi.org/10.56304/S2304487X22030063
Abstract
A dynamic two-phase model of the pressure compensator imbalance mechanism in a nuclear power plant pressurized water reactor (PWR) has been constructed based on some reasonable simplifications and basic hypothetical assumptions. The energy and mass conservation equations are used to derive a mathematical model of the pressurizer operation. The pressurizer is divided into two regions, the vapor region and the liquid region, but not necessarily in equilibrium with each other. A model of the pressurizer control system has been developed using MATLAB/Simulink. An improved model based on the model predictive control algorithm is proposed to solve the problems of large overshoot, delayed response, and poor stability of the pressurizer pressure control system. The possibilities and potential of model predictive control (MPC) strategies for pressurizer control in nuclear power plants are studied using a linearized dynamic model of the pressurizer. The MPC controllers used are based on existing methodologies. In addition, the possibilities of improving the performance by tuning some control parameters precisely based on the dynamic characteristics of the pressurizer are investigated. The efficiency has been evaluated by means of extensive computer simulations. The results demonstrate the potential of the MPC controller to improve the performance of the pressurizer.
About the Authors
Z. LaidaniRussian Federation
Moscow
115409
A. O. Tolokonsky
Russian Federation
Moscow
115409
K. K. Abdulrahim
Russian Federation
Moscow
115409
R. Berreksi
Russian Federation
Moscow
115409
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Review
For citations:
Laidani Z., Tolokonsky A.O., Abdulrahim K.K., Berreksi R. Control of the Nuclear Pressurizer Using Model Predictive Control. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2022;11(3):266–272. (In Russ.) https://doi.org/10.56304/S2304487X22030063