Buscar
Mostrando ítems 21-30 de 59
Ponencia
Deep Learning-Based Fault Detection and Isolation in Solar Plants for Highly Dynamic Days
(IEEE, 2022)
Solar plants are exposed to numerous agents that degrade and damage their components. Due to their large size and constant operation, it is not easy to access them constantly to analyze possible failures on-site. It is, ...
Artículo
Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance
(Elsevier, 2023-03)
Parabolic-trough solar collector fields are large-scale systems, so the application of centralized optimization-based control methods to these systems is often not suitable for real-time control. As such, this paper ...
Artículo
A cascade neural network methodology for fault detection and diagnosis in solar thermal plants
(Elsevier, 2023-07)
Detecting and isolating faults in collector fields of solar thermal power plants is a crucial and challenging task. The system variables in the collector area are highly coupled, which can lead to a high misclassification ...
Artículo
Model Predictive Control of the Mojave solar trough plants
(Elsevier, 2022-06)
The size of the current commercial solar trough plants poses new challenges in the applications of advanced control strategies. Ensuring safe operation while maintaining the temperature around an adequate set-point can ...
Ponencia
No-Regret Learning for Coalitional Model Predictive Control
(Elsevier, 2020)
In this paper, we introduce a learning approach for the controller structure in coalitional model predictive control (MPC) schemes. In this context, the local control entities can dynamically perform in a decentralized ...
Artículo
Centralized and distributed Model Predictive Control for the maximization of the thermal power of solar parabolic-trough plants
(Springer Verlag, 2020)
This paper proposes a new centralized Model Predictive Control (MPC) algorithm for the maximization of the thermal power obtained with a parabolic-trough collector field. The optimal operation of the plant is achieved by ...
Artículo
Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms
(Springer Science and Business Media Deutschland GmbH, 2021-11)
The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple, nonlinear criteria using discrete variables ...
Artículo
Mobile sensor for clouds shadow detection and direct normal irradiance estimation
(Elsevier, 2022)
This paper presents a mobile sensor system to detect and estimate low direct normal irradiance (DNI) areas caused by clouds shadows. This work proposes using a team of unmanned aerial vehicles (UAVs) to localise and ...
Ponencia
Distributed Model Predictive Control based on Dual Decomposition with Neural-Network-based Warm Start
(IEEE, 2021)
This work deals with the application of neural networks to speed up the convergence of a distributed model predictive control (DMPC) algorithm based on dual decomposition. While dual decomposition methods are known to ...
Artículo
A deep learning-based strategy for fault detection and isolation in parabolic-trough collectors
(Elsevier, 2022-03)
Solar plants are exposed to the appearance of faults in some of their components, as they are vulnerable to the action of external agents (wind, rain, dust, birds …) and internal defects. However, it is necessary to ensure ...