Journal ArticleDOI
Design of a fuzzy model predictive power controller for pressurized water reactors
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In this paper, a fuzzy model predictive control method is applied to design an automatic controller for thermal power control in pressurized water reactors, and the future reactor power is predicted by using the fuzzy model identified by a subtractive clustering method of a fast and robust algorithm.Abstract:
In this paper, a fuzzy model predictive control method is applied to design an automatic controller for thermal power control in pressurized water reactors. The future reactor power is predicted by using the fuzzy model identified by a subtractive clustering method of a fast and robust algorithm. The objectives of the proposed fuzzy model predictive controller are to minimize both the difference between the predicted reactor power and the desired one, and the variation of the control rod positions. Also, the objectives are subject to maximum and minimum control rod positions and maximum control rod speed. The genetic algorithm that is useful to accomplish multiple objectives is used to optimize the fuzzy model predictive controller. A three-dimensional nuclear reactor analysis code is used to verify the proposed controller for a nuclear reactor. From results of numerical simulation to check the performance of the proposed controller at the 5%/min ramp increase or decrease of a desired load and its 10% step increase or decrease which are design requirements, it was found that the nuclear power level controlled by the proposed fuzzy model predictive controller could track the desired power level very well.read more
Citations
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Journal ArticleDOI
Fractional Order Modeling of a PHWR Under Step-Back Condition and Control of Its Global Power With a Robust ${\rm PI}^{\lambda} {\rm D} ^{\mu}$ Controller
Saptarshi Das,Amitava Gupta +1 more
TL;DR: In this paper, a fractional order (FO) model reduction technique is attempted to increase the parametric robustness of the control loop due to lesser modeling error and ensure iso-damped closed loop response with a PIλDμ or FOPID controller.
Journal ArticleDOI
Status of research and development of learning-based approaches in nuclear science and engineering: A review
Mario Gomez-Fernandez,Kathryn A. Higley,Akira Tokuhiro,Kent Welter,Weng-Keen Wong,Haori Yang +5 more
TL;DR: An overview of the fundamentals of artificial intelligence and the state of development of learning-based methods in nuclear science and engineering is presented to identify the risks and opportunities of applying such methods to nuclear applications.
Journal ArticleDOI
Fractional Order Modeling of a PHWR Under Step-Back Condition and Control of Its Global Power with a Robust PI{\lambda}D{\mu} Controller
TL;DR: In this article, a fractional order (FO) model reduction technique is attempted to increase the parametric robustness of the control loop due to lesser modeling error and ensure iso-damped closed loop response with a PI{\lambda}D{\mu} or FOPID controller.
Journal ArticleDOI
Model-free adaptive control law for nuclear superheated-steam supply systems
TL;DR: In this article, a model-free adaptive power-level control law is developed for Su-NSSSs with forced primary circulation in the simple proportional-integral (PI) or proportional differential (PD) form.
Journal ArticleDOI
State-Space Model Predictive Control Method for Core Power Control in Pressurized Water Reactor Nuclear Power Stations
TL;DR: In this article, a state-space model predictive control (MPC) method was applied to the control of the core power in a PWR, and the model for core power control was based on mathematical models of the reactor core, the MPC model, and quadratic programming (QP).
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
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An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
Journal ArticleDOI
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
E.H. Mamdani,S. Assilian +1 more
TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.