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Aircraft Electrical Model Simulation Identification and Fitting Toolbox

Risultati finali

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.

Pubblicazioni

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

Autori: Gabriel Rojas-Duenas, Jordi-Roger Riba, Khaled Kahalerras, Manuel Moreno-Eguilaz, Akash Kadechkar, Alvaro Gomez-Pau
Pubblicato in: 2020 IEEE International Conference on Industrial Technology (ICIT), Issue Annual, 2020, Page(s) 456-461, ISBN 978-1-7281-5754-2
Editore: IEEE
DOI: 10.1109/icit45562.2020.9067098

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

Autori: Santiago Bogarra, Antoni Garcia, Manuel Moreno-Eguilaz, Jordi-Roger Riba
Pubblicato in: 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), Issue Annual, 2018, Page(s) 906-911, ISBN 978-1-5386-4198-9
Editore: IEEE
DOI: 10.1109/EPEPEMC.2018.8521865

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

Autori: Hariharan Balakrishnan, Manuel Moreno-Ezuilaz, Jordi-Roger Riba, Santiago Bogarra, Antoni Garcia
Pubblicato in: 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), Issue Annual, 2018, Page(s) 242-247, ISBN 978-1-5386-4198-9
Editore: IEEE
DOI: 10.1109/EPEPEMC.2018.8521981

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

Autori: Gabriel Rojas-Dueñas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Pubblicato in: Sensors, Issue 21, 2021, Page(s) 1-18, ISSN 1424-8220
Editore: 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

Autori: Gabriel Rojas-Duenas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Pubblicato in: IEEE Transactions on Power Electronics, Issue 37/1, 2022, Page(s) 509-518, ISSN 0885-8993
Editore: 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

Autori: Gabriel Rojas-Dueñas, Jordi Roger Riba, Manuel Moreno-Eguilaz
Pubblicato in: Measurement, Issue 183, 2021, Page(s) 109838, ISSN 0263-2241
Editore: 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

Autori: Jordi-Roger Riba, Manuel Moreno-Eguilaz, Santiago Bogarra, Antoni Garcia
Pubblicato in: Electronics, Issue 7/12, 2018, Page(s) 393, ISSN 2079-9292
Editore: MPDI
DOI: 10.3390/electronics7120393

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

Autori: G. Rojas Duenas, J.-R. Riba, M. Moreno-Eguilaz
Pubblicato in: IEEE Transactions on Power Electronics, 2020, Page(s) 1-1, ISSN 0885-8993
Editore: 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

Autori: Gabriel Rojas-Dueñas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Pubblicato in: Electronics, Issue 10/11, 2021, Page(s) 1231, ISSN 2079-9292
Editore: mdpi
DOI: 10.3390/electronics10111231

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

Autori: Gabriel Rojas-Duenas, Jordi-Roger Riba, Manuel Moreno-Eguilaz
Pubblicato in: IEEE Transactions on Instrumentation and Measurement, Issue 70, 2021, Page(s) 1-9, ISSN 0018-9456
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tim.2021.3098377

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