Jesús Sergio Artal-Sevil | University of Zaragoza (original) (raw)

Papers by Jesús Sergio Artal-Sevil

ICERI proceedings, Oct 31, 2023

IEEE Access

Transverse flux machines have the potential to offer high torque density in direct-drive vehicle ... more Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a widespread technique for transverse flux machines design, as their computational cost is much lower than the finite element method. In this paper a novel analytical sizing methodology for transverse and radial flux machines is presented, focusing on the current load and the pole length factor as the main design parameters. The motor specifications are intended for a light-duty electric vehicle application. As transverse flux machines have a single, hoop-shaped coil per phase that embraces the flux of all the pole pairs, their principle of operation and therefore their sizing equations differ from radial flux machines. The proposed analytical method allows to compare transverse and radial flux machines easily through a similarity analysis and a parametric study. Furthermore, the discrepancies between the analytical model and the finite element method are quantified and then included in previous equations. Then the analytical model is optimized with a multiobjective genetic algorithm in the final stage. According to the sizing methodology presented here, transverse flux machines have a superior performance than radial flux machines in terms of torque density and efficiency. INDEX TERMS Analytical sizing equations, electric vehicles, finite element method, multiobjective genetic algorithm, permanent magnet synchronous machines, transverse flux machines.

En este documento se muestra un pequeno ejemplo de la utilizacion de la microbotica para la reali... more En este documento se muestra un pequeno ejemplo de la utilizacion de la microbotica para la realizacion de proyectos final de carrera aplicados a un entorno logistico reducido. La construccion de prototipos de microbots ademas de motivar a los estu

Aprendizaje, Innovación y Cooperación como impulsores del cambio metodológico, 2019

Resumen-La experiencia que aquí se presenta se basa en la transferibilidad de innovación educativ... more Resumen-La experiencia que aquí se presenta se basa en la transferibilidad de innovación educativa centrada en el enfoque pedagógico de enseñanza inversa o «Flipped Learning», desarrollada entre profesores de áreas de conocimiento diferentes. Se ha aprovechado la experiencia y conocimiento previos para la producción

Renewable Energy and Power Quality Journal, 2005

Renewable Energy and Power Quality Journal, 2006

Renewable Energy and Power Quality Journal, 2011

Recent technology improvements enabled ultracapacitors (UCaps) to be an interesting option for sh... more Recent technology improvements enabled ultracapacitors (UCaps) to be an interesting option for short-term power applications, such as in industry, automotive and traction drives, regenerative energy system, telecommunication and medical equipment. UCaps are being developed as an alternative to pulse batteries. To be an attractive alternative, ultracapacitors must have at least one order of magnitude higher power and a much longer shelf and cycle life than batteries. UCaps have much lower energy density than batteries and their low energy density is, in most cases, the factor that determines the feasibility of their use in a particular power application. The main advantages of UCaps are that they can provide high power capability (60-120s is typical), excellent reversibility (90-95% or higher) and long cycle life (>10 5 cycles). Thus they exhibit 20-200times larger capacitance per unit volume or mass than conventional capacitors. In this paper, an autonomous mobile robot was converted from a conventional lead-acid or lithium-ion battery to an ultracapacitors as the power source. The integration of UCaps as element of energy storage on the robot was studied with the main of optimizing the energetic solution. The design of the ultracapacitors based power supply system is outlined.

Renewable Energy and Power Quality Journal, 2012

This paper presents a hybrid configuration combining a hydrogen fuel cell and ultracapacitors to ... more This paper presents a hybrid configuration combining a hydrogen fuel cell and ultracapacitors to create an energy storage system. Hybrid topology is constructed using a SEPIC converter, which connects the fuel cell with the DC bus whereas a bidirectional Buck-Boost converter links the ultracapacitors group with the DC bus. The main aim is to increase the efficiency of the hybrid power system applied about an autonomous mobile robot. An active Fuel Cell voltage control strategy is presented to manage the power flows. In addition, the overall efficiency of the proposed hybrid power system at overload operation is higher than the conventional one. In this paper, an autonomous mobile robot was converted from a conventional lead-acid or lithium-ion battery to a hybrid PEM Fuel-Cell and ultracapacitors as the power source. The integration of UCaps as element of energy storage on the robot was studied with the aim to improve the energetic solution.

This paper reports an example of state-of-the-art technology applied to academic training of elec... more This paper reports an example of state-of-the-art technology applied to academic training of electrical engineers. An updated commercial Finite Element Method Software package is used to calculate electrical fields and power dissipation in a resistor with a complex geometry. These results are compared with theoretical solutions of a simplified model which can be obtained by the students with basic mathematics. Using a powerful tool to calculate electromagnetic fields very accurately let them to acknowledge the limitations of their theoretical solutions. The aim of this activity is the presentation of Electromagnetics theory in a more engaging manner, using a breakthrough technology as a bridge between the classical theoretical approach and industrial applications. Analytical solutions of resistors with non-uniform distributions of current and power density are restricted to simplified geometries which are rough representations of the real model. These resistors present engineering p...

Forecasting

Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their ... more Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to construct the probability distribution of the learning error of an ANN designed for short-term forecasting. The training and validation processes were conducted multiple times, each time considering a unique random starting point, and the subsequent forecasting error was calculated one step ahead. From this, we ascertained the probability of having obtained all the local optima. Our extensive computational analysis involved training a shallow feedforward neural network (FFNN) using wind power and load demand data from the transmission systems of the Netherlands and Germany. Furthermore, the analysis was expanded to include wind speed prediction using a long short-term memory (LSTM) network at a site in Spain. The improvement gained from t...

2021 IEEE Vehicle Power and Propulsion Conference (VPPC), Oct 1, 2021

This paper presents a Partial-Power processing architecture for a Fuel Cell-based hybrid Electric... more This paper presents a Partial-Power processing architecture for a Fuel Cell-based hybrid Electric Vehicle (HEV). Likewise, an active power buffer has been incorporated to supply the power peaks demanded by the vehicle's traction system. The purpose of the Partial-Power architecture has been to improve overall efficiency while semiconductor power losses are reduced relative to the Full-Power converter. This topology has some advantages over the traditional structure, such as high power density, reduced voltage stress in semiconductor devices, small size, or low cost. This is because the Partial-Power converter only processes a fraction of the total system power. The effectiveness of the strategy has been validated by the Matlab/Simulink software simulation. The results obtained, merit figures and conclusions are also presented in this paper.

Electronics, Feb 6, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

The operating principle of power converters is based on the implementation of PWM modulation tech... more The operating principle of power converters is based on the implementation of PWM modulation techniques. In general, the adoption of the PWM strategy or modulation algorithm is intended to improve the behavior of the system: improve harmonic content (THD) or dynamic response, reduce switching losses, increase conversion efficiency, etc. The academic literature includes different PWM modulation techniques. Some of these complex techniques are intended to achieve greater reliability, efficiency and reduce noise in the equipment. The objective of this paper has been to develop a comparative analysis of the different control algorithms and PWM techniques. Matlab-Simulink has been the software used for the analysis and development of the different PWM modulation techniques presented, as well as the converter topologies. The purpose was to develop the simulation of the different PWM modulation techniques (continuous and discontinuous methods) and to compare the results with the experimental setup. The purpose is that the student can understand more easily and visually their operation mode. From the student’s viewpoint, it is important to understand each of the PWM modulation strategies, as well as to observe the advantages and disadvantages of the different methods presented. This document also discusses the method and details for the acquisition of knowledge and its implementation in the classroom.

INTED2015 Proceedings, 2015

ICERI proceedings, Nov 1, 2022

En el presente documento se muestra el desarrollo e implementación de un algoritmo de control, ba... more En el presente documento se muestra el desarrollo e implementación de un algoritmo de control, basado en redes neuronales, destinado al accionamiento de una pequeña prótesis robótica. El sistema de reconocimiento de gestos está basado en múltiples sensores EMG superficiales. De esta forma ha resultado posible controlar el prototipo desarrollado de una forma sencilla y eficaz. Estos sensores sirven como puente para detectar los pequeños pulsos eléctricos producto de la actividad muscular y transformarlos en una señal analógica que el módulo de control es capaz de filtrar e interpretar. El trabajo Fin de Grado/Máster (TFG/TFM), constituye una tarea académica que permite valorar el conjunto de habilidades y competencias adquiridas por los estudiantes durante su periodo de formación. En general, el desarrollo de sistemas robóticos siempre supone una motivación extra en los estudiantes. De este modo se presenta una aplicación electrónica novedosa y de actualidad como es la activación y estrategia de control de una prótesis biónica. El propósito ha sido simular el movimiento real de los dedos de la mano. Al mismo tiempo se discuten los diferentes conceptos y detalles de su implementación. La aplicación de redes neuronales como estrategia de control de la mano biónica ha permitido desarrollar un control en tiempo real, obteniéndose unos resultados muy satisfactorios.

ICERI proceedings, Nov 1, 2019

This paper presents the development and implementation of a control algorithm, based on neural ne... more This paper presents the development and implementation of a control algorithm, based on neural networks, intended for the control and operation of a small robotic prosthesis. The gesture recognition system is based on multiple surface EMG sensors. In this way, it has been possible to control the developed prototype in a simple and effective way. These EMG sensors serve as a bridge to detect small electrical pulses caused by muscle activity and transform them into an analogue signal that the control module is capable of filtering and interpreting. Final Year Project (TFG) or Final Master Project (TFM), constitutes an academic activity that allows us to evaluate in detail the different competencies acquired by the students during their time at university. In general, the development of robotic systems always supposes an extra motivation in the students. Thus, this document presents a novel and current electronic application such as the activation and control strategy of a bionic prosthesis. The purpose has been to simulate the actual movement of the fingers. At the same time, the different concepts and details of their implementation are discussed. The application of neural networks as a control strategy for the bionic hand has allowed the development of real-time control, obtaining very satisfactory results.