[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective

L Sun, F You - Engineering, 2021 - Elsevier
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …

Artificial intelligence for control and optimization of boilers' performance and emissions: A review

MA Nemitallah, MA Nabhan, M Alowaifeer… - Journal of Cleaner …, 2023 - Elsevier
Burning fossil fuels is a major concern for global warming control. In Saudi Arabia, steam
power plants that relay on boilers to produce the steam accounted for around 50% of the …

Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity

Y Fan, X Liu - International Journal of Robust and Nonlinear …, 2020 - Wiley Online Library
This article focuses on the parameter estimation problem of the input nonlinear system
where an input variable‐gain nonlinear block is followed by a linear controlled …

Mathematical modeling, simulation and validation of a boiler drum: Some investigations

PU Sunil, J Barve, PSV Nataraj - Energy, 2017 - Elsevier
The boiler or steam generator is a widely-used energy conversion equipment across the
industry to generate steam for power generation or utility purposes. Recently, there is an …

Multivariable robust adaptive sliding mode control of an industrial boiler–turbine in the presence of modeling imprecisions and external disturbances: A comparison …

S Ghabraei, H Moradi, G Vossoughi - ISA transactions, 2015 - Elsevier
To guarantee the safety and efficient performance of the power plant, a robust controller for
the boiler–turbine unit is needed. In this paper, a robust adaptive sliding mode controller …

A new recurrent radial basis function network-based model predictive control for a power plant boiler temperature control

J Tavoosi, A Mohammadzadeh - International Journal of Engineering, 2021 - ije.ir
In this paper, a new radial basis function network-based model predictive control (RBFN-
MPC) is presented to control the steam temperature of a power plant boiler. For the first time …

Design & application of adaptive variable structure & H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties

S Ghabraei, H Moradi, G Vossoughi - Energy, 2018 - Elsevier
In this article, to improve the precision, performance and robustness of an industrial boiler-
turbine, two robust controllers are designed. First, a robust adaptive variable structure …

A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems

Q Wei, Y Liu, J Lu, J Ling, Z Luan… - … Control Applications and …, 2023 - Wiley Online Library
Optimal control theory and reinforcement learning are gradually being used in the field of
industrial control. In this article, a new optimal tracking control scheme for 160 MW boiler …

Improving the performance of a nonlinear boiler–turbine unit via bifurcation control of external disturbances: a comparison between sliding mode and feedback …

H Moradi, MH Abbasi, H Moradian - Nonlinear Dynamics, 2016 - Springer
Boiler–turbine units may show quasiperiodic behavior due to the bifurcation occurrence in
the presence of harmonic disturbances. In this study, a multi-input–multi-output nonlinear …

Robust model predictive control with bi-level optimization for boiler-turbine system

L Wang, Y Cai, B Ding - IEEE Access, 2021 - ieeexplore.ieee.org
A robust model predictive control (MPC) with bi-level optimization is proposed for nonlinear
boiler-turbine system. The nonlinear dynamics are described by multiple local models …