[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …
power generation has become essential for the economical and safe operation of both …
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 …
A comparison of machine learning methods for ozone pollution prediction
Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning
This brief proposes a real-time energy management approach for a hybrid tracked vehicle to
adapt to different driving conditions. To characterize different route segments online, an …
adapt to different driving conditions. To characterize different route segments online, an …
Discrete-time integral terminal sliding mode load following controller coupled with disturbance observer for a modular high-temperature gas-cooled reactor
J Hui - Energy, 2024 - Elsevier
With the appearance of digital computers and microprocessor technologies, the control
systems used in nuclear reactors continue to transform from analog devices to digital ones in …
systems used in nuclear reactors continue to transform from analog devices to digital ones in …
Chattering-free higher order sliding mode controller with a high-gain observer for the load following of a pressurized water reactor
J Hui, J Yuan - Energy, 2021 - Elsevier
The load following of nuclear power plants (NPPs) has been a contentious issue in the
control field. In this paper, we propose a chattering-free higher order sliding mode control …
control field. In this paper, we propose a chattering-free higher order sliding mode control …
ESO-based adaptive event-triggered load following control design for a pressurized water reactor with samarium–promethium dynamics
Conventional control systems used in nuclear reactors rely on real-time information
transmission between the controllers and the actuators, which is unnecessary and imposes …
transmission between the controllers and the actuators, which is unnecessary and imposes …
Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques
J Hui, J Yuan - Energy, 2022 - Elsevier
The problem of load following of a pressurized water reactor (PWR) has been extensively
investigated in the last decades. However, most of the pre-existing controllers proposed in …
investigated in the last decades. However, most of the pre-existing controllers proposed in …
Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning
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 …
that produces steam for electricity or cogeneration. However, the performance of current …
Power-pressure coordinated control of modular high temperature gas-cooled reactors
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 …
graphite as both the moderator and structural material, whose fuel element is built by …