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About

Rui E. Araújo received the electrical engineering graduation, M. Sc. and Ph. D. degrees from the Faculty of Engineering of the University of Porto, Portugal in 1987, 1992 and 2001, respectively. From 1987 to 1998, he was an Electrotechnical Engineer in Project Department, Adira Company, Porto, Portugal, and from 1988 to 1989, he was researcher with INESC, Porto, Portugal. Since 1989, he has been with the University of Porto, where he is an Assistant Professor with the Department of Electrotechnical and Computer Engineering at Faculty of Engineering. He is a Researcher in the Power Systems Unit of INESC PORTO. His research interests are focused on motion control and electric vehicles. Recently, his areas of interests include the design and control of grid-connected converters for micro-grids and electric vehicles.

Interest
Topics
Details

Details

  • Name

    Rui Esteves Araujo
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    01st April 2010
002
Publications

2020

Active Fault Diagnosis Method for Vehicles in Platoon Formation

Authors
Lopes, A; Araujo, RE;

Publication
IEEE Transactions on Vehicular Technology

Abstract

2020

Inversion-based approach for detection and isolation of faults in switched linear systems

Authors
Silveira, AM; Araujo, RE;

Publication
Electronics (Switzerland)

Abstract
This paper addresses the problem of the left inversion of switched linear systems from a diagnostics perspective. The problem of left inversion is to reconstruct the input of a system with the knowledge of its output, whose differentiation is usually required. In the case of this work, the objective is to reconstruct the system’s unknown inputs, based on the knowledge of its outputs, switching sequence and known inputs. With the inverse model of the switched linear system, a real-time Fault Detection and Isolation (FDI) algorithm with an integrated Fuzzy Logic System (FLS) that is capable of detecting and isolating abrupt faults occurring in the system is developed. In order to attenuate the effects of unknown disturbances and noise at the output of the inverse model, a smoothing strategy is also used. The results are illustrated with an example. The performance of the method is validated experimentally in a DC-DC boost converter, using a low-cost microcontroller, without any additional components. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

2020

A new approach for the diagnosis of different types of faults in DC-DC power converters based on inversion method

Authors
Silveira, AM; Araujo, RE;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
This paper presents theory, a new approach and validation results for fault detection and isolation (FDI) in DC-DC power converters, based on inversion method. The developed method consists on the inversion-based estimation of faults and change detection mechanisms adapted to the power converters context. With the inverse model of a switched linear system, we have designed a real-time FDI algorithm with an integrated fuzzy logic scheme which detects and isolates abrupt changes (faults) at unknown time instants. A smoothing strategy is used to attenuate the effect of unknown disturbances and noise that are present at the outputs of this inverse model. Once the fault event is detected, a dedicated fuzzy-logic-based scheme is proposed to isolate the four types of faults: switch, voltage and current sensor, and capacitor. The performance of the proposed method is verified experimentally to detect and isolate the mentioned faults in the DC-DC boost power converter.

2020

A Survey of the Modeling of Switched Reluctance Machines and their Applications

Authors
Mamede, ACF; Camacho, JR; Araújo, RE;

Publication
U.Porto Journal of Engineering

Abstract
The main objective of modeling a switched reluctance machine is to derive a mathematical function to relate the outputs to the inputs. Due to the nonlinear relationship between the variables of torque, flux linkage, current and angular position of the rotor, Switched Reluctance Machine (SRM) modeling is a very challenging task and an open problem. Modeling is usually done in two situations, modeling a single machine, or modeling a set of machines. Each one must fulfill different requirements. This work presents a survey of different SRM modeling approaches, evaluating its advantages and limitations when modeling a single machine or a set of machines.

2020

Vehicle Lateral Dynamic Identification Method Based on Adaptive Algorithm

Authors
Lopes, A; Araujo, RE;

Publication
IEEE Open Journal of Vehicular Technology

Abstract

Supervised
thesis

2019

Development of a battery management system interface for adapting second life batteries to energy storage

Author
Jorge Lopes dos Santos Teixeira Carrondo

Institution
UP-FEUP

2019

Módulo de Controlo e Manutenção de Equipamentos Ligeiros de Obra

Author
José Pedro Sucena Gonçalves

Institution
UP-FEUP

2019

A new approach to fault diagnosis in power converters for energy storage systems

Author
Alexandre Miguel Marques da Silveira

Institution
UP-FEUP

2019

Soluções técnicas de carregamento para a massificação do uso do veículo elétrico

Author
João Machado Mariares de Almeida

Institution
UP-FEUP

2019

Fault-Tolerant Control System on Cooperative Overactuated Electric Vehicle Platoon

Author
António Manuel Figueiredo Lopes

Institution
UP-FEUP