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Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, Xiangjie& Wang, Mengyue. 2014. Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-507238
Modern Language Association (MLA)
Liu, Xiangjie& Wang, Mengyue. Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-507238
American Medical Association (AMA)
Liu, Xiangjie& Wang, Mengyue. Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-507238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507238