Design of optimal fractional order fuzzy PID controller based on cuckoo search algorithm for core power control in molten salt reactors
O Karahan - Progress in Nuclear Energy, 2021 - Elsevier
In case of the adverse effects of unforeseeable or uncertain disturbances on control systems,
stability robustness of control performance is crucial for controller design. Accordingly, in this …
stability robustness of control performance is crucial for controller design. Accordingly, in this …
On-line fault detection of a fuel rod temperature measurement sensor in a nuclear reactor core using ANNs
In this paper a detailed method for fault detection of an in-core three wires Resistance
Temperature Detectors (RTD) sensor is introduced. The method is mainly based on the …
Temperature Detectors (RTD) sensor is introduced. The method is mainly based on the …
Dynamic programming with successive approximation and relaxation strategy for long-term joint power generation scheduling of large-scale hydropower station group
Z He, C Wang, Y Wang, B Wei, J Zhou, H Zhang, H Qin - Energy, 2021 - Elsevier
The joint optimal operation of large-scale hydropower station group (LHSG) is faced with the
higher dimension than that of cascade hydropower station, the demand for the efficient …
higher dimension than that of cascade hydropower station, the demand for the efficient …
Predictive control of slurry pressure balance in shield tunneling using diagonal recurrent neural network and evolved particle swarm optimization
X Li, G Gong - Automation in Construction, 2019 - Elsevier
Establishing the balance between slurry supporting pressure and expected water-earth
pressure is an important criterion to ensure excavating face stability in shield tunneling. To …
pressure is an important criterion to ensure excavating face stability in shield tunneling. To …
Control of a PWR nuclear reactor core power using scheduled PID controller with GA, based on two-point kinetics model and adaptive disturbance rejection system
SMH Mousakazemi - Annals of Nuclear Energy, 2019 - Elsevier
Nuclear reactor dynamics has a non-linear nature, and some parameters depend on the
output power level. Accordingly, a load-following issue is important. To this end, it is …
output power level. Accordingly, a load-following issue is important. To this end, it is …
Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long …
Nonlinear state space modeling of a nuclear reactor has been done for the purpose of
controlling its global power in load following mode. The nonlinear state space model has …
controlling its global power in load following mode. The nonlinear state space model has …
Artificial intelligence methods applied for quantitative analysis of natural radioactive sources
ME Medhat - Annals of Nuclear Energy, 2012 - Elsevier
Artificial neural network (ANN) represents one of artificial intelligence methods in the field of
modeling and uncertainty in different applications. The objective of the proposed work was …
modeling and uncertainty in different applications. The objective of the proposed work was …
A fuzzy controller design for nuclear research reactors using the particle swarm optimization algorithm
R Coban - Nuclear Engineering and Design, 2011 - Elsevier
In this paper, a closed-loop fuzzy logic controller based on the particle swarm optimization
algorithm is proposed for controlling the power level of nuclear research reactors. The …
algorithm is proposed for controlling the power level of nuclear research reactors. The …
[HTML][HTML] Modeling the total heat transfer coefficient of a nuclear research reactor cooling system by different methods
In this work, the thermal model of Triga Mark-II Nuclear research reactor working at Istanbul
Technical University (ITU) Energy Institute was created. Thermal model includes …
Technical University (ITU) Energy Institute was created. Thermal model includes …
A new interval type-2 fuzzy approach for analyzing and monitoring the performance of megaprojects based on earned value analysis (with a case study)
A Eshghi, SM Mousavi, V Mohagheghi - Neural Computing and …, 2019 - Springer
Major factors of project success include using tools of performance measurements and
feedbacks. Earned value management (EVM) is a unique issue within megaprojects due to …
feedbacks. Earned value management (EVM) is a unique issue within megaprojects due to …