Aircraft Electrical Model Simulation Identification and Fitting Toolbox

Leistungen

Plan for Communication, Dissemination and Exploitation

The dissemination strategy and exploitation routes will be developed, as part of the “Dissemination and Exploitation Plan”. The purpose will be to provide a formal planning document for using and disseminating knowledge developed throughout the project. The plan will facilitate the common understanding of the aims of the dissemination activities, and will assure the dissemination does not interfere with the IPR management but serves it. The coordinator implement as a regular procedure for all the projects the assessment of the Research Valorization Department of the University, so the dissemination of the results is always assessed in relation with intellectual property strategies.

Preliminary Identification & fitting methods applicable to electrical models

Document/report summarizing: • State-of-the art parameter identification and fitting methods • Comparison of the abovementioned methods and preliminary selection of the most appropriate ones. • Preliminary selection of the key parameters to take into account in the SaberRD models for power generators, power converters, power cables, power loads and filters.

Publishable Report on Project technical results

Summary report ilustrating the results obtained by the project focused on progress beyond state of the art and or state of the practice.

Project website

An important dissemination platform for the project will also be the project website that will be built at the beginning of the project, which will serve as an enduring internet site for promoting the project and housing all the downloadable public deliverables and outputs of the project. It will be widely disseminated across Europe and worldwide to generate visitors and traffic to the site. This will contribute to efficient coordination and dissemination of the project outputs across the relevant European and international communities to promote the project.

Veröffentlichungen

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Autoren: Gabriel Rojas-Duenas, Jordi-Roger Riba, Khaled Kahalerras, Manuel Moreno-Eguilaz, Akash Kadechkar, Alvaro Gomez-Pau
Veröffentlicht in: 2020 IEEE International Conference on Industrial Technology (ICIT), Ausgabe Annual, 2020, Seite(n) 456-461, ISBN 978-1-7281-5754-2
Herausgeber: IEEE
DOI: 10.1109/icit45562.2020.9067098

Detailed Off-Line Parameter Identification of Synchronous Generator Based on Frequency Response Tests

Autoren: Santiago Bogarra, Antoni Garcia, Manuel Moreno-Eguilaz, Jordi-Roger Riba
Veröffentlicht in: 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), Ausgabe Annual, 2018, Seite(n) 906-911, ISBN 978-1-5386-4198-9
Herausgeber: IEEE
DOI: 10.1109/EPEPEMC.2018.8521865

DC-DC Buck Converter Parameter Identification Based on a White-Box Approach

Autoren: Hariharan Balakrishnan, Manuel Moreno-Ezuilaz, Jordi-Roger Riba, Santiago Bogarra, Antoni Garcia
Veröffentlicht in: 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), Ausgabe Annual, 2018, Seite(n) 242-247, ISBN 978-1-5386-4198-9
Herausgeber: IEEE
DOI: 10.1109/EPEPEMC.2018.8521981

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine

Autoren: Gabriel Rojas-Dueñas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Veröffentlicht in: Sensors, Ausgabe 21, 2021, Seite(n) 1-18, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21217079

A Deep Learning-Based Modeling of a 270 V-to-28 V DC-DC Converter Used in More Electric Aircrafts

Autoren: Gabriel Rojas-Duenas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Veröffentlicht in: IEEE Transactions on Power Electronics, Ausgabe 37/1, 2022, Seite(n) 509-518, ISSN 0885-8993
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpel.2021.3098468

Modeling of a DC-DC bidirectional converter used in mild hybrid electric vehicles from measurements

Autoren: Gabriel Rojas-Dueñas, Jordi Roger Riba, Manuel Moreno-Eguilaz
Veröffentlicht in: Measurement, Ausgabe 183, 2021, Seite(n) 109838, ISSN 0263-2241
Herausgeber: Elsevier BV
DOI: 10.1016/j.measurement.2021.109838

Parameter Identification of DC-DC Converters under Steady-State and Transient Conditions Based on White-Box Models

Autoren: Jordi-Roger Riba, Manuel Moreno-Eguilaz, Santiago Bogarra, Antoni Garcia
Veröffentlicht in: Electronics, Ausgabe 7/12, 2018, Seite(n) 393, ISSN 2079-9292
Herausgeber: MPDI
DOI: 10.3390/electronics7120393

Non-Linear Least Squares Optimization for Parametric Identification of DC-DC Converters

Autoren: G. Rojas Duenas, J.-R. Riba, M. Moreno-Eguilaz
Veröffentlicht in: IEEE Transactions on Power Electronics, 2020, Seite(n) 1-1, ISSN 0885-8993
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpel.2020.3003075

Parameter Estimation of a Single-Phase Boost PFC Converter with EMI Filter Based on an Optimization Algorithm

Autoren: Gabriel Rojas-Dueñas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Veröffentlicht in: Electronics, Ausgabe 10/11, 2021, Seite(n) 1231, ISSN 2079-9292
Herausgeber: mdpi
DOI: 10.3390/electronics10111231

Black-Box Modeling of DC–DC Converters Based on Wavelet Convolutional Neural Networks

Autoren: Gabriel Rojas-Duenas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Veröffentlicht in: IEEE Transactions on Instrumentation and Measurement, Ausgabe 70, 2021, Seite(n) 1-9, ISSN 0018-9456
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tim.2021.3098377

Leistungen

Veröffentlichungen

Diese Seite teilen

Herunterladen