Coordinated control of concentrated solar power systems with indirect molten salt storage considering operation mode switching: Using switching model predictive …

J Wang, Y Li, J Zhang - Energy, 2023 - Elsevier
Concentrated solar power (CSP) systems, in conjunction with thermal energy storage (TES)
systems, can deliver continuous and stable electricity even under intermittent solar …

Nonlinear temperature regulation of solar collectors with a fast adaptive polytopic LPV MPC formulation

HA Pipino, MM Morato, E Bernardi, EJ Adam… - Solar Energy, 2020 - Elsevier
Temperature control in solar collectors is a nonlinear problem: the dynamics of temperature
rise vary according to the fluid flowing through the collector and to the temperature gradient …

[HTML][HTML] Nonlinear model predictive control for thermal balance in solar trough plants

AJ Gallego, AJ Sánchez, JM Escaño… - European Journal of …, 2022 - Elsevier
The size of existing commercial solar trough plants poses new challenges in applying
advanced control strategies to optimize operation. One of these challenges is to obtain a …

Incremental model predictive control of active suspensions with estimated road preview information from a lead vehicle

S Song, J Wang - Journal of Dynamic Systems …, 2020 - asmedigitalcollection.asme.org
In preview-based vehicle suspension applications, the preview of the road profile is highly
dependent on the preview sensors. In some scenarios such as heavy traffic situations, the …

Thermal balance of large scale parabolic trough plants: A case study

AJ Sánchez, AJ Gallego, JM Escaño, EF Camacho - Solar Energy, 2019 - Elsevier
The main control objective in commercial solar parabolic plants is to track the average
temperature of all the loops around a reference set by the operator, by manipulating the flow …

Event-MILP-based task allocation for heterogeneous robotic sensor network for thermosolar plants

JG Martin, RA García, EF Camacho - Journal of Intelligent & Robotic …, 2021 - Springer
In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is
proposed to solve the task allocation problem in a Robotic Sensor Network (RSN). A fleet of …

Initialisation of optimisation solvers for nonlinear model predictive control: Classical vs. hybrid methods

M Ławryńczuk, PM Marusak, P Chaber, D Seredyński - Energies, 2022 - mdpi.com
In nonlinear Model Predictive Control (MPC) algorithms, the number of cost-function
evaluations and the resulting calculation time depend on the initial solution to the nonlinear …

Effect of short cloud shading on the performance of parabolic trough solar power plants: motorized vs manual valves

M Abutayeh, RV Padilla, M Lake, YY Lim, J Garcia… - Renewable energy, 2019 - Elsevier
This paper uses a dynamic bio-inspired model to simulate cloud movement over a parabolic
trough collector solar field. Time-stamped spatially varying solar radiation records resulting …

[HTML][HTML] Model Predictive Control of the Mojave solar trough plants

AJ Gallego, M Macias, F de Castilla, AJ Sánchez… - Control Engineering …, 2022 - Elsevier
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 …

Control scheme formulation for a parabolic trough collector using inverse artificial neural networks and particle swarm optimization

M Cervantes-Bobadilla, JA Hernández-Pérez… - Journal of the Brazilian …, 2021 - Springer
This work shows the results of a new nonlinear control approach for the water outlet
temperature control in a parabolic trough collector (PTC). The controller is based on an …