Multivariable Integrated Model Predictive Control of Nuclear Power Plant

2008 ◽  
Author(s):  
Guoqing Xia ◽  
Jie Su ◽  
Wei Zhang
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Nuclear Power ◽  
Integrated Model

scholarly journals Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xiangjie Liu ◽  
Mengyue Wang
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Nuclear Power ◽  
High Efficiency ◽  
Fuzzy Model ◽  
Nonlinear Constraint ◽  
Pressurized Water ◽  
Plant Safety

Reliable power and temperature control in pressurized water reactor (PWR) nuclear power plant is necessary to guarantee high efficiency and plant safety. Since the nuclear plants are quite nonlinear, the paper presents nonlinear fuzzy model predictive control (MPC), by incorporating the realistic constraints, to realize the plant optimization. T-S fuzzy modeling on nuclear power plant is utilized to approximate the nonlinear plant, based on which the nonlinear MPC controller is devised via parallel distributed compensation (PDC) scheme in order to solve the nonlinear constraint optimization problem. Improved performance compared to the traditional PID controller for a TMI-type PWR is obtained in the simulation.

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