Journal ArticleDOI
Fuzzy logic control for improved pressurizer systems in nuclear power plants
Chris Brown,Hossam A. Gabbar +1 more
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TLDR
A fuzzy controller to regulate the pressurizer inventory control is developed and compared to the current proportional controller used at DNGS to show the fuzzy controller performs better than the proportional controller in terms of settling time and overshoot.About:
This article is published in Annals of Nuclear Energy.The article was published on 2014-10-01. It has received 20 citations till now. The article focuses on the topics: Pressurizer & Control theory.read more
Citations
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Journal ArticleDOI
Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches
TL;DR: In this paper, a multi-layer perceptron artificial neural network (MLP-ANN) and an adaptive neuro-fuzzy interference system (ANFIS) have been developed to estimate carbon dioxide solubility in presence of various ionic liquids over wide ranges of pressure, temperature and concentration.
Journal ArticleDOI
Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids
TL;DR: In this paper, a feed forward Multi-Layer Perceptron Artificial Neural Network (MLP-ANN), an Adaptive Neuro-Fuzzy Inference System (ANFIS) and a Radial Basis Function Artificial Neural Networks (RBF-ANN) were developed to predict solubility of Hydrogen Sulfide in the presence of various ionic liquids over wide ranges of temperature, pressure and concentration.
Journal ArticleDOI
Improving the anesthetic process by a fuzzy rule based medical decision system
Juan A. Méndez,Ana León,Ayoze Marrero,Jose M. Gonzalez-Cava,Jose A. Reboso,J. I. Estévez,J.F. Gómez-González +6 more
TL;DR: The FCL, designed with intuitive logic rules based on the clinician experience, performed satisfactorily and outperformed the manual administration in patients in terms of accuracy through the maintenance stage.
Journal ArticleDOI
Artificial intelligence in nuclear industry: Chimera or solution?
TL;DR: This paper comprehensively analyses recent advancement in artificial intelligence for its applications in nuclear power industry and provides a critical assessment of various nuances of artificial Intelligence for nuclear industry.
Journal ArticleDOI
Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions
TL;DR: A hybrid fuzzy-PID (Proportional-Integral-Derivative) controller is presented, which learns the optimal PID controller parameters and adapts them according to the environmental parameters and process variables values.
References
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Journal ArticleDOI
A simple dynamic model of the primary circuit in VVER plants for controller design purposes
TL;DR: In this article, a simple low dimensional nonlinear dynamic model of the primary circuit in a VVER-type nuclear power plant is developed from first engineering principles that is able to capture the most important dynamics of the system in normal operating modes.
Journal ArticleDOI
Research on Pressurizer Water Level Control of Pressurized Water Reactor Nuclear Power Station
TL;DR: In this paper, the water level control of the pressurizer in nuclear power plant has been studied, and a fuzzy PID controller has been designed and it has good control effect.
Proceedings ArticleDOI
Research on pressurizer water level control of nuclear reactor based on RBF neural network and PID controller
TL;DR: A composite control strategy based on RBF tuning PID control is presented, which has strong robustness and adaptive abilities and higher control accuracy.
Journal ArticleDOI
Hybrid particle swarm optimization algorithm and its application in nuclear engineering
TL;DR: Simulations based on two well-studied benchmark problems demonstrate the proposed algorithm will be an efficient alternative to solving constrained optimization problems.
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