Status of research and development of learning-based approaches in nuclear science and engineering: A review

M Gomez-Fernandez, K Higley, A Tokuhiro… - … Engineering and Design, 2020 - Elsevier
Nuclear technology industries have increased their interest in using data-driven methods to
improve safety, reliability, and availability of assets. To do so, it is important to understand …

Modeling and control of nuclear reactor cores for electricity generation: A review of advanced technologies

G Li, X Wang, B Liang, X Li, B Zhang, Y Zou - Renewable and Sustainable …, 2016 - Elsevier
This investigation is to review advanced technologies for modeling and control of reactor
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …

System-level modeling, analysis and coordinated control design for the pressurized water reactor nuclear power system

C Cui, J Zhang, J Shen - Energy, 2023 - Elsevier
A flexible operation of the nuclear power system (NPS) over a large operating range is
emphasized when it is used as marine power. The current study exposes two bottlenecks in …

Contingency model predictive control for automated vehicles

JP Alsterda, M Brown, JC Gerdes - 2019 American control …, 2019 - ieeexplore.ieee.org
We present Contingency Model Predictive Control (CMPC), a novel and implementable
control framework which tracks a desired path while simultaneously maintaining a …

Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning

T Zhang, Z Dong, X Huang - Energy, 2024 - Elsevier
The nuclear steam supply system (NSSS) is a critical component of a nuclear power plant
that produces steam for electricity or cogeneration. However, the performance of current …

Power-pressure coordinated control of modular high temperature gas-cooled reactors

Z Dong, B Li, X Huang, Y Dong, Z Zhang - Energy, 2022 - Elsevier
Modular high temperature gas cooled reactor (mHTGR) adopts helium as coolant and
graphite as both the moderator and structural material, whose fuel element is built by …

Robust optimal-integral sliding mode control for a pressurized water nuclear reactor in load following mode of operation

KK Abdulraheem, SA Korolev - Annals of Nuclear Energy, 2021 - Elsevier
A nuclear reactor is a complex, nonlinear, and time-varying system. External disturbances
and uncertainty due to neutronic and thermal-hydraulics parameters variation contribute to …

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 …

S Das, I Pan, S Das - Energy Conversion and Management, 2013 - Elsevier
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 …

Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system

Z Dong, X Huang, Y Dong, Z Zhang - Applied Energy, 2020 - Elsevier
Energy system optimization is important in strengthening stability, reliability and economy,
which is usually given by static linear or nonlinear programming. However, the challenge …

Nonlinear model predictive control using feedback linearization for a pressurized water nuclear power plant

A Naimi, J Deng, V Vajpayee, V Becerra… - IEEE …, 2022 - ieeexplore.ieee.org
The present work aims to introduce a nonlinear control scheme that combines intelligent
feedback linearization (FBL) and a model predictive control (MPC) for a pressurized water …