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Publications

Publications by Rui Esteves Araujo

2020

Switched Reluctance Motor Drives: Fundamental Control Methods

Authors
Fernando Sequeira Pereira, M; Mamede, A; Esteves Araújo, R;

Publication
Modelling and Control of Switched Reluctance Machines

Abstract

2020

Fault diagnosis in DC-DC power converters based on parity equations

Authors
Mattos, WJ; Araujo, RE;

Publication
Proceedings - 2020 International Young Engineers Forum, YEF-ECE 2020

Abstract
This paper presents an approach based on parity equations for the problem of fault diagnosis in Buck and Boost converters. The basic idea of this method consists of to formulate a set of residues that compare the difference between the signals measured from the power circuit with an equation model describing the nominal behavior of the power converter. The fault detection algorithm is based on checking the residuals of the inductor current and output voltage. The fault signatures matrix was obtained using a theoretical analysis of residuals in order to establish an appropriate and effective fault isolation algorithm for converters running in continuous mode. Simulation results demonstrate the effectiveness of the method to isolate the main faults in the Buck and Boost power converters. © 2020 IEEE.

2020

Nonlinear Control of Dual Half Bridge Converters in Hybrid Knergy Storage Systems

Authors
de Castro, R; Brembeck, J; Araujo, RE;

Publication
2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)

Abstract
This work proposes a new control framework for power converters with a dual half bridge (DHB) configuration. The new framework exploits the multi-port structure of the DHB to simultaneously: i) regulate the current in the primary side of the DIM and ii) equalize the voltage in the two secondary ports of the DHB. To implement these functions, we combine input-output linearization methods with pragmatic voltage balance algorithms. We then apply this framework to a hybrid energy storage system composed of a battery pack and two supercapacitor modules. Numerical simulation results demonstrate the effectiveness of the proposed approach in regulating the power between the energy storage units and balancing the supercapacitors' voltages.

2020

A Back-EMF Estimation Method for a Switched Reluctance Motor using Model Predictive Control

Authors
Pereira, M; Melo, P; Araujo, RE;

Publication
2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)

Abstract
Switched reluctance machines are simple, robust, fault-tolerant and do not use permanent magnets, which makes them a strung candidate fur vehicular propulsion. Despites the advantages they still stiffer from high torque pulsation and acoustic noise, which can be reduced by the controller. In this paper the concern is in having an advanced current control, so it is used the model predictive control (MPC). This requires an accurate model to estimate the future behavior of current and the back-electromotive force (emf) signal is essential. As this signal cannot be directly calculated or measured it is proposed a new algorithm to calculate its estimation in real time. The algorithm is easy to implement and the numerical results show the accuracy of the method, which permits a very low current estimation error in the MPC framework.

2021

Modulation Methods for Direct and Indirect Matrix Converters: A Review

Authors
Varajao, D; Araujo, RE;

Publication
ELECTRONICS

Abstract
Matrix converters (MCs) allow the implementation of single-stage AC/AC power conversion systems (PCS) with inherent bidirectional power flow capability. By avoiding the typical DC-link capacitor, MCs have the potential to achieve higher power density with a more reliable operation and less maintenance when compared with conventional two-stage AC/DC/AC PCS. For these reasons, matrix converters have been receiving significant attention from the academic sector but have not yet been implemented on a large industrial scale. This article reviews the Direct Matrix Converter (DMC) and the Indirect Matrix Converter (IMC) along with the respective actual and most important modulation methods. Simulation results are provided to validate the theoretical analysis and to get a deep insight about the implementation of space vector modulation (SVM) and respective switching pattern generator.

2020

Effects Analysis of Design Parameters on Three-phase 6/4 and Four-phase 8/6 Switched Reluctance Machines Performance

Authors
Mamede, ACF; Camacho, JR; Araujo, RE; Guimaraes, GC;

Publication
2020 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), VOL 1

Abstract
The design of the switched reluctance machine involves several variables that impact the performance of the machine in different ways. The topology, polar arcs, internal and external diameter, number of turns and core length are some of the parameters that must be determined at the design stage. The effect of geometric parameters on performance is different for each switched reluctance machine topology, so this study is dedicated to establishing a sensitivity analysis for two popular topologies, a three-phase 6/4 and a four-phase 8/6. The performance results are estimated through finite element simulations and the dimensional effects analysis is performed using statistical software. The results show the dimensions with the greatest effect on the average torque value and total losses on the machine and can be useful to support the choices made during the design and optimization of this type of machine.

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