the development of different topologies of power converters with impedance networks have opened up new lines of research, its application in different areas such as transmission systems, high voltage, photovoltaic systems, these have yielded systems with high performance and efficiency, but in recent years its application in research and development of traction systems for electric vehicles have in creased, these topologies can be bidirectional and replace the DC-DC booster used in conventional systems. However, its implementation is necessary to
know the different modulation techniques and control that can be used to reach more efficient traction system and to consolidate these topologies. This article describes the different modulation and control techniques that can be applied to converter topologies with bidirectional impedance networks for applications in traction systems for electric vehicle.
Giacometto, Francisco javier; Capelli, F.; Romeral, L.; Riba, J.; Sala, E. Advances in Electrical and Computer Engineering Vol. 16, num. 3, p. 25-30 DOI: 10.4316/AECE.2016.03004 Data de publicació: 2016-08-15 Article en revista
Wang, C.; Delgado Prieto, M.; Romeral, L.; Chen, Z.; Blaabjerg, F.; Liu, X. IEEE transactions on magnetics Vol. 52, num. 7 DOI: 10.1109/TMAG.2015.2511003 Data de publicació: 2016-07-01 Article en revista
Demagnetization fault detection of in-service permanent magnet synchronous machines (PMSMs) is a challenging task, because most PMSMs operate under nonstationary circumstances in industrial applications. A novel approach based on tracking characteristic orders of stator current using Vold-Kalman filter is proposed to detect the partial demagnetization fault in PMSMs running at nonstationary conditions. The amplitude of envelope of the fault characteristic orders is used as fault indictor. Experimental results verify the superiority of the proposed method on the partial demagnetization online fault detection of PMSMs under various speed and load conditions.
The use of impedance networks in different types of DC/DC, DC/AC and AC/AC converters, has increased significantly, and many converters topologies and articles VSI and CSI with impedance networks have been presented for the purpose of overcoming the limitations and problems of voltage and current that frequently occurs in these topologies. The selection and implementation of a topology of network impedance would improve the reliability and performance of the power system. This article presents a study and analysis of different network impedance topologies, the modulation techniques and control for the adapting to power converters for applications in electric traction.
the traction systems for electric vehicles have advanced considerably over recent years, with the application of different topologies of power converters for the control of various types of electric induction motors and permanent magnet. Furthermore, the evolution of power semiconductor elements of Si to SiC wideband have opened up lines of research and development in this area. The trend of manufacturer's traction systems is to reach compact systems where the power dissipation is high and the reduction of losses is minimal, for it the implementation of topologies of converters with SiC devices seems to be a good alternative of use to improve the performance of these systems; This paper describes a study and review of the different types of converter topologies proposed for the development and application in traction systems for electric vehicles. This review will identify the different works presented and analyze their problems, with the aim of seek to optimize these topologies or propose new types of topologies for implementation in traction systems.
Delgado Prieto, M.; Zurita, D.; Wang, W.; Machado, A.; Ortega, J.A.; Romeral, L. IEEE transactions on instrumentation and measurement Vol. 65, num. 1, p. 15-24 DOI: 10.1109/TIM.2015.2476278 Data de publicació: 2016-01-01 Article en revista
Advanced sensing strategies in the industrial sector are becoming a valued technological answer to increase the performance and competitiveness. The development of enhanced sensing solutions considering both technology and monitoring requirements is, nowadays, subject of concern in the industrial maintenance field. In this context, this paper presents a novel self-powered wireless sensor applied to condition monitoring of gears. The proposed sensor is based on a modular architecture, offering multipoint sensing, local wireless communication, multisource energy harvesting, and embedded diagnosis algorithm for mechanical fractures detection based on acoustic emission analysis. The developments are complemented by means of a remote management interface, from which the user can configure the functionalities of the sensors, visualize the network status as well as analyze the diagnosis evolution. The sensor performance, in terms of power consumption and fault detection, has been analyzed by means of experimental results.
This paper presents a design tool for Induction
Machines, Permanent Magnet Synchronous Machines,
Externally Excited Synchronous Machines and
Switched Reluctance Machines. This software, based
on Modelica language, is able to provide full
dimensioning (cross and axial section measures) and
operation characteristics according to mechanical and
electrical requirements set as inputs. The tool is able to
perform error handling, which informs a designer about
unfeasible designs and gives clues about the possible
errors. Both aspects of the tool GUI and scripts provide
help files and code explanation in order to re-use the
tool and improve library’s functionalities.
Romeral, L.; Salehi Arashloo, R.; Salehifar, M.; Moreno-Eguilaz, J.M. Electric power systems research Vol. 121, p. 260-269 DOI: 10.1016/j.epsr.2014.11.004 Data de publicació: 2015-04-01 Article en revista
Model predictive control algorithms have recently gained more importance in the field of wind power generators. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse model of generator is used to calculate the appropriate inputs for the next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed to control the stator currents of an outer-rotor five-phase BLDC generator. Extended Kalman filter is used in the estimation step of proposed method, and generator equations are used to calculate the appropriate voltages for the next modulation period. Two aspects of proposed controlling method are evaluated including its sensitivity to generator parameter variations and its speed in following the reference values of required torque during transient states. Wind power generators are kept in mind, and proposed controlling method is both simulated and experimentally evaluated on an outer-rotor five-phase BLDC generator. (C) 2014 Elsevier B.V. All rights reserved.
This work analyzes the behavior of surface-mounted permanent magnet synchronous motors (SPMSMs) operating under stator faults. The studied faults are resistive unbalance and winding inter-turn short circuits, which may lead to unbalanced conditions of the motor. Both faults may reduce motor efficiency and performance and produce premature ageing. This work develops an analytical model of the motor when operating under stator faults. By this way, the theoretical basis to understand the effects of resistive unbalance and stator winding inter-turn faults in SPMSMs is settied. This work also compares two methods for detecting and discriminating both faults. For this purpose, a method based on the analysis of the zero-sequence voltage component is presented, which is compared to the traditional method, i.e. the analysis of the stator currents harmonics. Both simulation and experimental results presented in this work show the potential of the zero-sequence voltage component method to provide helpful and reliable data to carry out a simultaneous diagnosis of resistive unbalance and stator winding inter-turn faults.
La publicación final está disponible en Springer a través de 10.1007/s00202-014-0316-z
Electric motors used for traction purposes in electric vehicles (EVs) must meet several requirements, including high efficiency, high power density and faulttolerance. Among them, permanent magnet synchronous motors (PMSMs) highlight. Especially, five-phase axial flux permanent magnet (AFPM) synchronous motors are particularly suitable for in-wheel applications with enhanced fault-tolerant capabilities. This paper is devoted to optimally design an AFPM for in-wheel applications. The main geometric, electric and mechanical parameters of the designed AFPM are calculated by applying an iterative method based on a set of analytical equations, which is assisted by means of a reduced number of three-dimensional finite element method (3D-FEM) simulations to limit the computational burden. To optimally design the AFPM, a constrained multi-objective optimization process based on a genetic algorithm is applied, in which two objective functions are considered, i.e. the power density and the efficiency. Several fault-tolerance constraints are settled during the optimization process to ensure enhanced fault-tolerance in the resulting motor design. The accuracy of the best solution attained is validated by means of 3D-FEM simulations.
Salehifar, M.; Salehi Arashloo, R.; Moreno-Eguilaz, J.M.; Sala, V.; Romeral, L. IET power electronics Vol. 8, num. 1, p. 76-87 DOI: 10.1049/iet-pel.2013.0949 Data de publicació: 2015-01-01 Article en revista
To meet increasing demand for higher reliability in power electronics converters applicable in electric vehicles, fault detection (FD) is an important part of the control algorithm. In this study, a model-based open transistor fault diagnsosis method is presented for a voltage-source inverter (VSI) supplying a five-phase permanent magnet motor drive. To realise this goal, a model-based observer is designed to estimate model parameters. After that, the estimated parameters are used to design a sliding mode observer in order to estimate the phase current in an ideal model. Subsequently, the proposed FD technique measures the similarity between the estimated current and real current using cross-correlation factor. This factor is used for the first time in this study to define a FD index in VSI. The presented FD scheme is simple and fast; also, it is able to detect multiple open switch or open phase faults in contrast to conventional methods. On the other side, in order to track reference current of the motor, the estimated parameters are used to design a proportional resonant controller. The FD technique is used to operate a multiphase fault-tolerant brushless direct current (BLDC) motor drive. Experimental results on a five-phase BLDC motor with in-wheel outer rotor applicable in electrical vehicles are conducted to validate the theory.
Sinusoidally fed permanent magnet synchronous motors (PMSM) fulfill the special features required for traction
motors to be applied in electric vehicles (EV). Among them, axial flux permanent magnet (AFPM) synchronous motors are
especially suited for in-wheel applications. Electric motors used
in such applications must meet two main requirements, i.e. high power density and fault tolerance. This paper deals with the
optimal design of an AFPM for in-wheel applications used to drive an electrical scooter. The single-objective optimization
process carried out in this paper is based on designing the AFPM to obtain an optimized power density while ensuring appropriate fault tolerance requirements. For this purpose a set of analytical
equations are applied to obtain the geometrical, electric and mechanical parameters of the optimized AFPM and several design restrictions are applied to ensure fault tolerance capability. The optimization process is based on a genetic
algorithm and two more constrained nonlinear optimization algorithms in which the objective function is the power density.
Comparisons with available data found in the technical bibliography show the appropriateness of the approach
developed in this work.
Five-phase permanent magnet synchronous motors (PMSMs) have inherent fault-tolerant capabilities. This paper analyzes the detection of inter-turn short circuit faults in five-phase PMSMs in their early stage, i.e. with only one turn in short circuit by means of the analysis of the stator currents and the zero-sequence voltage component (ZSVC) spectra. For this purpose, a parametric model of five-phase PMSMs which accounts for the effects of inter-turn short circuits is developed to determine the most suitable harmonic frequencies to be analyzed to detect such faults. The amplitudes of these fault harmonic are analyzed in detail by means of finite-elements method (FEM) simulations, which corroborate the predictions of the parametric model. A low-speed five-phase PMSM for in-wheel applications is studied and modeled. This paper shows that the ZSVC-based method provides better sensitivity to diagnose inter-turn faults in the analyzed low-speed application. Results presented under a wide speed range and different load levels show that it is feasible to diagnose such faults in their early stage, thus allowing applying a post-fault strategy to minimize their effects while ensuring a safe operation.
Kampouropoulos, K.; Andrade, F.; Garcia, A.; Romeral, L. Advances in Electrical and Computer Engineering Vol. 14, num. 1, p. 9-14 DOI: 10.4316/AECE.2014.01002 Data de publicació: 2014-02-01 Article en revista
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a shortterm load forecasting for the different modeled consumption processes.
Salehi Arashloo, R.; Salehifar, M.; Saavedra, H.; Romeral, L. Advances in Electrical and Computer Engineering Vol. 14, num. 2, p. 145-152 DOI: 10.4316/AECE.2014.02023 Data de publicació: 2014 Article en revista
Fault tolerant motor drives are an interesting subject for many applications such as automotive industries and wind power generation. Among different configurations of these systems, five-phase BLDC drives are gaining more importance which is because of their compactness and high efficiency. Due to replacement of field windings by permanent magnets in their rotor structure, the main sources of power losses in these drives are iron (core) losses, copper (winding) losses, and inverter unit (semiconductor) losses. Although low amplitude of power losses in five-phase BLDC drives is an important aspect for many applications, but their efficiency under faulty conditions is not considered in previous studies. In this paper, the efficiency of an outer-rotor five phase BLDC drive is evaluated under normal and different faulty conditions. Open-circuit fault is considered for one, two adjacent and two non-adjacent faulty phases. Iron core losses are calculated via FEM simulations in Flux-Cedrat® software, and moreover, inverter losses and winding copper losses are simulated in MATLAB® environment. Experimental evaluations are conducted to evaluate the efficiency of the entire BLDC drive which verifies the theoretical developments.
Salehi Arashloo, R.; Romeral, L.; Salehifar, M.; Sala, V. Advances in Electrical and Computer Engineering Vol. 14, num. 2, p. 89-96 DOI: 10.4316/AECE.2014.02015 Data de publicació: 2014 Article en revista
Efficiency improvement under faulty conditions is one of the main objectives of fault tolerant PM drives. This goal can be achieved by increasing the output power while reducing the losses. Stator copper loss not only directly affects the total efficiency, but also plays an important role in thermal stress generations of iron core. In this paper, the effect of having control on neutral point current is studied on the efficiency of five-phase permanent magnet machines. Open circuit fault is considered for both one and two phases, and the distribution of copper loss along the windings are evaluated in each case. It is shown that only by having access to neutral point, it is possible to generate less stator thermal stress and more mechanical power in five-phase permanent magnet generators. Wind power generation and their applications are kept in mind, and the results are verified via simulations and experimental tests on an outer-rotor type of five-phase PM machine.
In this paper the effect of the magnets shape on the AFPMM performance under a demagnetization fault has been analyzed by means of 3D-FEM simulations. Demagnetization
faults in permanent magnet synchronous motors (PMSMs) may generate specific fault harmonic frequencies in the stator currents, output torque and the zero-sequence voltage component (ZSVC) spectra the ones can affect motor behavior, and so these parameters have been studied and compared, for each magnet
configuration in each condition. These analyses are carried out to find out the more suitable geometry for an operation under
healthy and faulty condition.
A new mathematical model of a renewable generator,
with a DC-AC interface, based on the concept of electrostatic
machine is presented. This new model has a direct relationship
between the DC and AC side. Moreover, it can be used for
stability studies, taking into account the dynamics of the DC link
and to find saturations and limits on the control signals.
A new mathematical model of a renewable generator, with a DC-AC interface, based on the concept of electrostatic machine is presented. This new model has a direct relationship between the DC and AC side. Moreover, it can be used for stability studies, taking into account the dynamics of the DC link and to find saturations and limits on the control signals.
Con el objetivo de que el funcionamiento de una máquina sea el correcto es imperativo
asegurar que existe un buen mantenimiento predictivo. Es conveniente tener un sistema
inteligente y dispositivos capaces de detectar fallos en fases tempranas. Los fallos más
comunes en máquinas industriales son todos aquellos relacionados con los sistemas de
transmisión de potencia. La técnica de emisión acústica (EA) es el último enfoque para
detectar e identificar defectos en rodamientos, cajas de cambio y uniones mecánicas.
La emisión acústica (EA) es el fenómeno de generación de ondas elásticas transitorias
en materiales bajo tensión. Cuando el material está sometido a un cierto nivel de
tensión, una liberación rápida de energía de deformación tiene lugar en forma de
ondas elásticas, las cuales pueden ser detectadas mediante transductores colocados en
la pieza en cuestión.
El objetivo de este trabajo es proporcionar una caracterización de las ondas elásticas
que emanan de grietas localizadas entre el flanco y el valle de un engranaje. Las
señales han sido registradas usando transductores colocados en la superficie del
engranaje (a media distancia entre el eje y los dientes).
El método de los elementos finitos ha sido utilizado para simular las ondas elásticas
emitidas durante el crecimiento de las grietas. El modelo de simulación está basado en
suposiciones elásticas y se ha llevado a cabo mediante Abaqus. Estos resultados han
sido comparados con los resultados experimentales.
In order to have a machine that functions well it is imperative to ensure that there is a
good predictive maintenance. An intelligent system and devices able to detect the fault
in its early stage is then convenient. The most common failures in industrial machines
are those related to the power transmission systems. Acoustic Emission (AE) is the
latest approach in detecting and identifying faults in bearings, gearboxes and
mechanical couplings. Acoustic Emission (AE) is the phenomenon of transient elastic
wave generation in materials under stress. When the material is subjected to stress at a
certain level, a rapid release of strain energy takes place in the form of an elastic wave
which can be detected by transducers placed on it. The objective of this work is to provide a characterization of elastic waves emanating
from cracks located between the flank and the valley of a gear. The signals have been
recorded using transducers attached to the surface of the gear (midway between the
shaft and the teeth).
FE modeling has been used to simulate the elastic waves emitted from fatigue crack
growth. The model is based on linear elasticity assumptions and undertaken using
Abaqus. These results have been compared with the experimental ones.
Acoustic emission (AE) is one of the most important non-destructive testing (NDT) methods for materials, constructions and machines. Acoustic emission is defined as the transient elastic energy that is spontaneously released when materials undergo deformation, fracture, or both. This interdisciplinary book consists of 17 chapters, which widely discuss the most important applications of AE method as machinery and civil structures condition assessment, fatigue and fracture materials research, detection of material defects and deformations, diagnostics of cutting tools and machine cutting process, monitoring of stress and ageing in materials, research, chemical reactions and phase transitions research, and earthquake prediction.
The most used electric machine in the industry is the Induction Motor (IM), due to its simplicity and reduced cost. The analysis of the origin of IMs failures exhibits that the bearings are the major source of fault, and even a common cause of degradation in other kinds of motors as Permanent Magnet Synchronous Machines.
This work proposes the zero sequence voltage component (ZSVC) of the stator three-phase voltages as a method for detecting winding inter-turns short circuits in permanent magnet synchronous motors PMSM operating under transient conditions. Additionally it proves the linear relationship between the
ZSVC and speed, which is effectively used as a fault severity index. The acquired ZSVC temporal signal is processed by means of the Hilbert-Huang transform (HHT).
Experimental results presented in this work show the advantages of the method to provide helpful data for online diagnosis of stator winding inter-turn faults.
Andrade, F.; Kampouropoulos, K.; Cusido, J.; Romeral, L. Seminario Anual de Automática, Electrónica Industrial e Instrumentación p. 921-926 Data de presentació: 2011-07-08 Presentació treball a congrés
Este artículo presenta un estudio de Microgrids con interfases de convertidores DC/AC. El artículo muestra los modos de operación de las Microgrids, además implementa un modelo de pequeña señal para el modo de operación aislado que permite estudiar la estabilidad del sistema. Finalmente se muestra el funcionamiento de la Microgrid en ambos modos de operación.
Distributed generators systems and Microgrid are becoming more important to increase the renewable energy penetration in the public utility. This paper presents a mathematical model for connected inverters in Microgrid systems with large range variations in operating conditions. No-lineal tools and computer simulations, phase-plane trajectory analysis, method of Lyapunov and bifurcations analysis for evaluate the limits of the small signal models are used, and conclusion suggested utilizing models that can permit to analysis of the system when subjected to a severe transient disturbance such as loss a large load or loss of generation. The study of transient stability for Microgrid systems in stand-alone of the utility grid is useful to improve the design of Microgrid's architecture.
Double frequency tests are used for evaluating stator windings and analyzing the
temperature. Likewise, signal injection on induction machines is used on sensorless motor
control fields to find out the rotor position. Motor Current Signature Analysis (MCSA),
which focuses on the spectral analysis of stator current, is the most widely used method for
identifying faults in induction motors. Motor faults such as broken rotor bars, bearing
damage and eccentricity of the rotor axis can be detected. However, the method presents
some problems at low speed and low torque, mainly due to the proximity between the
frequencies to be detected and the small amplitude of the resulting harmonics. This paper
proposes the injection of an additional voltage into the machine being tested at a frequency
different from the fundamental one, and then studying the resulting harmonics around the
new frequencies appearing due to the composition between injected and main frequencies.
This work pretends to take advantage of powerful capabilities of computational intelligence to improve the actual features of modeling, prognosis, diagnosis and
optimization of load demand for EMS.
This work gives a potent complement to the rising new paradigms about renewable energies, distributed generation, micro-grids and smart grids in general,
which are in focusing in the optimization or improving of how the energy is generated and not how the energy is used.
Garcia, A.; Riba, J.; Cusido, J.; Ortega, J.A.; Romeral, L. IEEE transactions on components and packaging technologies Vol. 33, num. 3, p. 535-543 DOI: 10.1109/TCAPT.2010.2041456 Data de publicació: 2010-09 Article en revista
The undesirable phenomenon of the contact bounce
causes severe erosion of the contacts and, as a consequence, their
electrical life and reliability are greatly reduced. On the other
hand, the bounce of the armature can provoke re-opening of the
contacts, even when they have already been closed. This paper
deals with the elimination of the bounce in both contacts and
armature of a commercial dc core contactor. This is achieved
by means of a current closed-loop controller, which only uses
as input the current and voltage of the contactor’s magnetizing
coil. The logic control has been implemented in a low cost
microcontroller. Moreover, the board control can be fed by either
dc or ac, and either in 50 Hz or 60 Hz so as to extend its
applicability. A set of data is obtained from the measurement
of the position and velocity of the movable parts for different
operating voltages, and the dynamic behavior of the contactor is
El presente trabajo busca caracterizar el efecto de la fricción del conjunto móvil con el polo o el núcleo de la estructura magnética sobre la corriente absorbida por el altavoz, una de las más relevantes anomalías mecánicas que se dan en la fabricación de altavoces de bobina móvil: Se presenta el modelo de fallo y se añade al modelo de parámetros concentrados del altavoz. Finalmente, se caracterizan sus efectos mediante la extracción de indicadores de fallo basados en el valor eficaz de la corriente, el comportamiento del componente armónico (HD3) y los productos de intermodulación (IMD3) de tercer orden.
Cusido, J.; Romeral, L.; Garcia, A.; Ortega, J.A.; Riba, J. European transactions on electrical power Vol. 21, num. 1, p. 475-488 DOI: 10.1002/etep.455 Data de publicació: 2010-06-28 Article en revista
A new technique for induction motor fault detection and diagnosis is presented. This technique, which has
been experimentally verified in stationary and non-stationary motor conditions, is based on the convolution
of wavelet-based functions with motor stator currents. These functions are tuned to specific fault frequencies
taking into account motor speed and load torque, thus considering variable operation conditions of the motor.
Based on this technique an automatic system for fault diagnosis is also presented, which is suited for easy
Garcia, A.; Rosero, J.; Cusido, J.; Romeral, L.; Ortega, J.A. IEEE transactions on energy conversion Vol. 25, num. 2, p. 312-318 DOI: 10.1109/TEC.2009.2037922 Data de publicació: 2010-06 Article en revista
This paper presents a novel method to diagnose demagnetization
in permanent-magnet synchronousmotor (PMSM).
Simulations have been performed by 2-D finite-element analysis in
order to determine the current spectrum and the magnetic flux
distribution due to this failure. The diagnostic just based on motor
current signature analysis can be confused by eccentricity failure
because the harmonic content is the same. Moreover, it can
only be applied under stationary conditions. In order to overcome
these drawbacks, a novel method is used based upon the
Hilbert–Huang transform. It represents time-dependent series in a
2-D time–frequency domain by extracting instantaneous frequency
components through an empirical-mode decomposition process.
This tool is applied by running the motor under nonstationary
conditions of velocity. The experimental results show the reliability
and feasibility of the methodology in order to diagnose the demagnetization
of a PMSM.
Navarro, L.; Delgado Prieto, M.; Urresty, J.; Cusido, J.; Romeral, L. IEEE Instrumentation and Measurement Technology Conference p. 1159-1163 DOI: 10.1109/IMTC.2010.5488092 Data de publicació: 2010-05-06 Article en revista
The present work shows a condition monitoring
system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the
location of single-point defects in bearing components – inner and outer races, cage or ball faults -, this research covers wide
range irregularities which are very often more difficult to analyse. In addition to traditional techniques like vibration and
current signals, high frequency current bearing pulses and acoustic emissions are also analysed. High frequency bearings
current pulses are acquired using motors especially modified. This modification isolates ball bearings from the motor stator
frame, except for a bearing housing single point connected to ground through a proper cable where the pulses signal is measured. A multivariable fuzzy inference analysis approach is presented to get around the diagnosis difficulty.
AC-powered contactors are extensively used in industry
in applications such as automatic electrical devices, motor
starters, and heaters. In this work, a practical session that allows
students to model and simulate the dynamic behavior of
ac-powered electromechanical contactors is presented.
Cardenas, J.; Garcia, A.; Romeral, L.; Andrade, F. Annual Conference of the IEEE Industrial Electronics Society p. 3297-3302 DOI: 10.1109/IECON.2009.5415200 Data de presentació: 2009-11 Presentació treball a congrés
The simultaneous operation of the automated
storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system. Furthermore, high power peaks mean the need for more electrical power contracted, which in turns leads to more fixed operation cost and inefficient use of the electrical installations. In this context, we present a genetic algorithm approach to implement demandside management (DSM) in an automated warehouse. It has been based on real data from ASRs and models of prognosis of load profile of ASRs. We took into account two main goals: minimize instantaneous power demand and keeping the performance of the system store and retrieval times.
Poncelas, O.; Rosero, J.; Cusido, J.; Ortega, J.A.; Romeral, L. IEEE transactions on industrial electronics Vol. 56, num. 10, p. 4062-4070 DOI: 10.1109/TIE.2009.2025715 Data de publicació: 2009-10 Article en revista
This paper presents a new approach for the current acquisition system in motor fault detection applications. This paper
includes the study, design, and implementation of a Rogowski coil current sensor without the integrator circuit that is typically used. The circuit includes an autotuning block able to adjust to different motor speeds. Equalizing the amplitudes of the fundamental and fault harmonics leads to higher precision current measurements.
The resulting compact sensor is used as a current probe for fault detection in induction motors through motor current signal
analysis. The use of a Rogowski coil without an integrator allows a better discrimination of the fault harmonics around the third and
fifth main harmonics. Finally, the adaptive conditioning circuit is tested over an induction machine drive. Results are presented, and quantitative comparisons are carried out.
Rosero, J.; Romeral, L.; Rosero, E.; Urresty, J. IEEE Applied Power Electronics Conference and Exposition p. 951-956 DOI: 10.1109/APEC.2009.4802777 Data de presentació: 2009-02 Presentació treball a congrés
This paper presents a study of the Permanent
Magnet Synchronous Machine (PMSM) running under bearing damage. To carry out the study a two-dimensional (2-D) Finite Element Analysis (FEA) is used. Stator current induced harmonics for fault condition were investigated. Advanced signal analysis by means of Continuous and Discrete Wavelet
Transforms was performed. Simulation were carried out and compared with experimental.
Rosero, J.; Ortega, J.A.; Urresty, J.; Cardenas, J.; Romeral, L. IEEE Applied Power Electronics Conference and Exposition p. 964-969 DOI: 10.1109/APEC.2009.4802779 Data de presentació: 2009 Presentació treball a congrés
This paper presents and analyzed short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stated and dynamic condition for experimental and simulation test. The stator current is analyzed by means of higher order spectral analysis (HOSA). HOSA techniques are used for stator current analysis under stable conditions is power frequency spectrum density (PSD); and Multiple Signal Classification (MUSIC), and bispectrum are
used under dynamics conditions. Therefore, it is possible to improve the accuracy and efficiency of technique. Experimental
results validate the analysis and demonstrate for HOSA can be applied to detect and identify short circuit failures in
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system.
Furthermore, high power peaks mean the need for more electrical power contracted, which in turns leads to more fixed operation cost and inefficient use of the electrical installations. In this context, we present a
multi-objective genetic algorithm approach (MOGA) to implement demand-side management (DSM) in an automated warehouse. It works minimizing the total energy demand, but without increasing substantially the time for the operation. Simulations show the
performances of the new approach.
The latest advances in electric and electronic aircraft technologies from the point of view of an "all-electric" aircraft are presented herein. Specifically, we describe the concept of a "more electric aircraft" (MEA), which involves removing the need for on-engine hydraulic power generation and bleed air off-takes, and the increasing use of power electronics in the starter/generation system of the main engine. Removal of the engine hydraulic pumps requires fully-operative electrical power actuators and mastery of the flight control architecture. The paper presents a general overview of the electrical power generation system and electric drives for the MEA, with special regard to the flight controls. Some discussion regarding the interconnection of nodes and safety of buses and protocols in distributed systems is also presented.
Harry Rowe Mimno Award for the March 2007 AESS Magazine Paper: “Moving Towards A More Electric Aircraft”
L’objectiu final d’aquest projecte és millorar la docència impartida per el Departament d’Enginyeria Electrònica en el Campus de Terrassa en el àrea de microprocessadors. La millora té dos eixos fonamentals, d’una banda coordinar els continguts i els mètodes docents en les assignatures de primer i segon cicle i de l’altre dotar d’un caràcter semipresencial a les assignatures en general i a les pràctiques de laboratori en particular.
Les actuacions dutes a terme s’han centrat en l’adequació i ampliació del material de laboratori, en el desenvolupament de nou material docent multimèdia, en el desenvolupament d’una plataforma web d’e-learning i finalment el desenvolupament d’un simulador software d’un dels equips de laboratori.
La plataforma web i el simulador son els resultats més innovadors del projecte permeten a l’alumne, si ho desitja, un aprenentatge semipresencial, gràcies a les facilitats de comunicació de la plataforma i a la facilitat de experimentació amb el simulador.
El objetivo final de esta experiencia es mejorar la docencia impartida por el
Departamento de Ingeniería Electrónica en el Campus de Terrassa de la UPC en el área
de microprocesadores. La mejora tiene dos ejes fundamentales, por un lado coordinar
los contenidos y los métodos docentes en las asignaturas de primer y segundo ciclo y
por otro dotar de un carácter semipresencial a las asignaturas involucradas en general y
a las prácticas de laboratorio en particular. La experiencia también se presenta como un ejemplo de colaboración entre un equipo multidisciplinar perteneciente a dos universidades de dos países diferentes de la Unión Europea.
Las actuaciones llevadas a cabo se han centrado en la elaboración de nuevo material
docente, en el desarrollo de una plataforma web de e-learning, en la adecuación y
ampliación del material de laboratorio, y finalmente en el desarrollo de un simulador
software de uno de los equipos de laboratorio.
La plataforma web y el simulador son los resultados más innovadores del proyecto
permiten al alumno, si lo desea, un aprendizaje semipresencial, gracias a las facilidades de comunicación de la plataforma y a la facilidad de experimentación con el simulador.