Load following control of a PWR with load-dependent parameters and perturbations via fixed-time fractional-order sliding mode and disturbance observer techniques
This paper is concerned with the fixed-time fractional-order sliding mode control (FTFOSMC)
approach using fixed-time disturbance observer (FTDO) for the load following problem of a …
approach using fixed-time disturbance observer (FTDO) for the load following problem of a …
[HTML][HTML] Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities
Deep learning algorithms provide plausible benefits for efficient prediction and analysis of
nuclear reactor safety phenomena. However, research works that discuss the critical …
nuclear reactor safety phenomena. However, research works that discuss the critical …
Online autonomous calibration of digital twins using machine learning with application to nuclear power plants
As a near-zero carbon emission energy source, nuclear energy plays an important role in
the current world energy decarbonization scenario. Digital twin is a key technology for the …
the current world energy decarbonization scenario. Digital twin is a key technology for the …
Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems
In recent years, significant advancements in deep learning technology have facilitated the
development of intelligent health monitoring approaches for energy systems. However …
development of intelligent health monitoring approaches for energy systems. However …
Reinforcement learning-based saturated adaptive robust neural-network control of underactuated autonomous underwater vehicles
This paper studies a high-performance intelligent online adaptive robust saturated dynamic
surface control framework for underactuated autonomous underwater vehicles by engaging …
surface control framework for underactuated autonomous underwater vehicles by engaging …
Sustainability assessment of the solar energy supply chain in Colombia
Solar-generated energy supply has been applied as a solution to address the increasing
global population, global warming challenges, and the search for alternative sources of …
global population, global warming challenges, and the search for alternative sources of …
A load following control strategy for Chinese modular high-temperature gas-cooled reactor HTR-PM
S Wu, X Ma, J Liu, J Wan, P Wang, GH Su - Energy, 2023 - Elsevier
Abstract Chinese Modular High-Temperature Gas-Cooled Reactor HTR-PM is a promising
energy source for comprehensive utilization. The original coordinated control strategy of …
energy source for comprehensive utilization. The original coordinated control strategy of …
Review of nuclear power plant control research: Neural network-based methods
G Zhou, D Tan - Annals of Nuclear Energy, 2023 - Elsevier
The control systems of nuclear power plants (NPPs) implement the controls of a nuclear
reactor and its power system, equipment, process, and parameters. The performance of the …
reactor and its power system, equipment, process, and parameters. The performance of the …
Review on the recent progress in nuclear plant dynamical modeling and control
Nuclear plant modeling and control is an important subject in nuclear power engineering,
giving the dynamic model from process mechanics and/or operational data as well as …
giving the dynamic model from process mechanics and/or operational data as well as …
Multiobjective optimization of nuclear microreactor reactivity control system operation with swarm and evolutionary algorithms
To improve the marketability of novel microreactor designs, there is a need for automated
and optimal control of these reactors. This paper presents a methodology for performing …
and optimal control of these reactors. This paper presents a methodology for performing …