Luis Esteban Marsal

Mr. Luis Esteban Marsal

Systems Engineering and Automation Department, University of Seville, Seville, Spain
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
LMLuis Esteban Marsal
Luis Esteban Marsal
Manuel R. ArahalManuel R. Arahal
Manuel R. Arahal
Manuel G. SatuéManuel G. Satué
Manuel G. Satué
MPManuel Perales
Manuel Perales
Optimizing the cost function in predictive control of multi-phase drives is computationally intensive. This poses a challenge since the required sampling period for drives falls within the microsecond range. Numerous methods have been proposed in the literature to address this computational demand. This paper reviews recent proposals for multi-phase drives of various kinds. A structured classification of the proposals is provided. Furthermore, an integrated framework is employed to cohesively present and connect previously unrelated methods. Key elements such as Allowed Control Set, inter-sample modulation, and weighting factor use are identified. New developments in multi-vector and single-vector approaches are discussed. Practical limitations for each approach are also considered.
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16 November 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
LMLuis Esteban Marsal
Luis Esteban Marsal
Manuel R. ArahalManuel R. Arahal
Manuel R. Arahal
Manuel G. SatuéManuel G. Satué
Manuel G. Satué
Kumars RouzbehiKumars Rouzbehi
Kumars Rouzbehi
Predictive current control of variable speed drives by direct command of inverter states allows fast control. Its application to multiphase system constitutes a flexible solution that tackles several objectives by means of a cost function with several terms. Weighting factors are used to give relative importance of each term. They have a remarkable effect on figures of merit. In particular, secondary plane content and average switching frequency are usually considered as figures of merit. However, weighting factor effect on global energy efficiency has not been studied before because losses have different sources (commutations, Joule effect, etc.) that do not have a clear link with weighting factors and because trade-offs might appear. The present work uses an experimental setup with a five-phase induction machine connected to a mechanical load. By measuring the power balance, it is possible to show the effect of weighting factor tuning on losses. By tuning λxy, efficiency increases by up to 25%. In parallel, optimizing λnc reduces the average switching frequency by 9% and 18% across the evaluated configurations. This enables the selection of the most adequate values of the weighting factors. The results show that for each speed and load combination, the drive exhibits improved efficiency for some tuning.

1 November 2010
Verified
Conference Paper
Closed access
STSergio Luis Toral
Sergio Luis Toral
Federico BarreroFederico Barrero
Federico Barrero
FCF. Cortés
F. Cortés
DRD.G. Reina
D.G. Reina
LMLuis Esteban Marsal
Luis Esteban Marsal
MSM. Soto
M. Soto
This paper presents a system based on electronic equipments, standard mobile phones and WLAN networks for managing evacuation routes, or for obtaining information about victims' location and status, whenever a building collapses due to a disaster like earthquakes. The system is based on the standard Blue tooth specification to guarantee their application in indoor areas. The electronic equipments, their specifications and communication links, and the implications and viability of the entire system are analyzed in this work.

30 April 2025 in Energies
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Journal Article
Open access
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LMLuis Esteban Marsal
Luis Esteban Marsal
NMNicolás Enrique Martínez
Nicolás Enrique Martínez
AVAlfredo Perez Vega-Leal
Alfredo Perez Vega-Leal
Federico BarreroFederico Barrero
Federico Barrero
MHMohamad Hamdan
Mohamad Hamdan
Manuel G. SatuéManuel G. Satué
Manuel G. Satué
Rechargeable batteries are a key component of sustainable future systems, as their performance directly affects energy efficiency, maintenance costs, and system reliability. Assessing performance requires evaluating parameters such as the state of health (SoH) of the battery, which necessitates developing a system capable of efficiently gathering large amounts of data. This article presents a safe, simple, versatile, and automated system designed to test and characterize various types of battery cells. The system is conceived as a practical tool capable of automatically collecting the required data for analysis, thus enabling the determination of the performance parameters of a battery cell. The proposed system incorporates an innovative approach based on the concatenation of charge/discharge data, allowing for a more reliable evaluation of battery performance. Experimental tests show the interest and performance behavior of the proposed system.

6 October 2025 in Simposios del Comité Español de Automática (CEA)
Verified
Journal Article
Open access
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LMLuis Esteban Marsal
Luis Esteban Marsal
MSManuel Garrido Satué
Manuel Garrido Satué
FCFrancsico Colodro
Francsico Colodro
El control de motores mediante el manejo directo de los estados del inversor (FSMPC) ha sido objeto de estudio recientemente. El inter´es viene motivado por dos factores: la rapidez de respuesta comparada con el caso habitual usando moduladores y la flexibilidad para su aplicaci´on a diversos sistemas y para incorporar diversos criterios de control. En particular ya se ha establecido previamente la posibilidad de usar FSMPC en sistemas multif´asicos, aprovechando las ventajas intr´ınsecas de ´estos. Tambi´en se ha demostrado la posibilidad de lograr un cierto equilibrio entre producci´on de par y contenido arm´onico. Queda sin embargo por explorar la capacidad de reducir las p´erdidas totales mediante la sinton´ıa del FSMPC. En este art´ıculo se da a conocer un trabajo en curso destinado a tal fin. En particular se presentan resultados experimentales con una m´aquina de 5 fases y un sistema dise˜nado para la estimaci´on de las p´erdidas totales.

15 April 2010
Verified
Conference Paper
Closed access
LMLuis Esteban Marsal
Luis Esteban Marsal
DGDaniel Gutiérrez
Daniel Gutiérrez
MSM Soto
M Soto
JHJ. Hinojo
J. Hinojo
FBFederico Barrero
Federico Barrero
STS.L. Toral
S.L. Toral