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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Pinto, Alan R. A. Bahia, Filipe A. C. Souza, Reuben P. R. Pinheiro, José R. Costa, Fabiano F. Federal University of Bahia Post-Graduate Program in Electrical Engineering - Ppgee Salvador Brazil Federal University of Bahia Dept. of Electrical and Computer Engineering - Deec Salvador Brazil Federal University of Campina Grande Dept. of Electrical Engineering - Dee Campina Grande Brazil

ISBN: (纸本)9798350316445

This paper proposes a reconfiguration for a single-phase, double conversion uninterruptible power supply (UPS). With the addition of two static switches to the original circuit, the UPS mitigates the ripple in the current, through battery discharge performed by two legs. Other than these switches, the circuit topology is preserved. The preliminary results show a satisfactory level of ripples for the inductor current and suitable power quality for the output voltage. © 2023 IEEE.

关键词： battery mode discharger interleaved boost normal mode

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Feature extraction techniques based on power spectrum for a SSVEP-BCI

Feature extraction techniques based on power spectrum for a ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Javier Castillo Sandra Müller Eduardo Caicedo Teodiano Bastos Post-Graduate Program of Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Post-Graduate Program of Electrical Engineering University of Valle Cali Valle Colombia

ISBN: (纸本)9781479924004

This paper presents a comparison among three methods for Steady-State Visually Evoked Potentials (SSVEP) detection. These techniques are based on Power Spectral Density Analysis (PSDA) and Canonical Correlation Analysis (CCA). The first method estimates the signal-to-noise ratio of the power spectrum in each stimulus frequency using PSDA, which is called Traditional-PSDA. The second analysis estimates the relation between the difference of the stimulus frequency and its neighbor frequencies, using the power spectrum in these neighbor frequencies, and seeks the neighbor frequency which present the lowest relation value. This technique is referred to Ratio-PSDA. The third and final technique called Hybrid-PSDA-CCA. The performances of the methods were evaluated using a database of electroencephalogram (EEG) signals. The EEG signals were recorded from 19 volunteers, from which six people present disabilities. They were stimulated with visual stimuli flickering at 5.6, 6.4, 6.9 and 8.0 Hz. The system performance was evaluated considering the accuracy and the Information Transfer Rate (ITR) for each stimulus frequency. The results showed that the Hybrid-PSDA-CCA method achieved the best result with an average accuracy of 91.44%.

关键词： Electroencephalography Correlation Electric potential Brain-computer interfaces Equations Frequency estimation Accuracy

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Fuzzy set-based multiobjective allocation of resources: Solution algorithms and applications

Fuzzy set-based multiobjective allocation of resources: Solu...

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作者： Carvalho, Milene B. Ekel, Petr Ya. Martins, Carlos A.P.S. Pereira Jr., Joel G. Post Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Av. Dom Jose Gaspar 500 30535-610 Belo Horizonte MG Brazil

This paper presents results of research in the use of the Bellman-Zadeh approach to decision- making in a fuzzy environment for solving multiobjective optimization problems. Its application conforms to the principle of guaranteed result and provides constructive lines in obtaining harmonious solutions on the basis of analyzing associated maxmin problems. The application of the approach permits one to realize an effective (from the computational standpoint) as well as rigorous (in view of obtaining solutions from the Pareto set) method of analyzing multiobjective models. The use of the Bellman-Zadeh approach has served as a basis for solving problems of multiobjective allocation of resources (or their shortages) and developing a corresponding adaptive interactive decision making system (AIDMS). Its calculating kernel permits one to solve maxmin problems using an algorithm based on a non-local search (modification of Gelfand's and Tsetlin's "long valley" method) as well as a genetic algorithm. The comparison of their computational performance is given on the basis of solving problems of multiobjective power shortage allocation in power systems. © 2005 Elsevier Ltd. All rights reserved.

关键词： Resource allocation

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Multiple Criteria Analysis for Energy Storage Selection

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Energy and Power engineering 2011年第4期3卷 557-564页

作者： Alexandre Barin Luciane N. Canha Alzenira R. Abaide Karine F. Magnago Breno Wottrich Ricardo Q. Machado Federal University of Santa Maria Post-Graduate Electrical Engineering Program Center for Energy and Environment Studies

In view of the current and predictable energy shortage and environmental concerns, the exploitation of renewable energy sources offers great potential to meet increasing energy demands and to decrease depend- ence on fossil fuels. However, introducing these sources will be more attractive provided they operate in conjunction with energy storage systems (ESS). Furthermore, effective energy storage management is essential to achieve a balance between power quality, efficiency, costs and environmental constraints. This paper presents a method based on the analytic hierarchy process and fuzzy multi-rules and multi-sets. By exploiting a multiple criteria analysis, the proposed methods evaluate the operation of storage energy systems such as: pumped hydro and compressed air energy storage, H2, flywheel, super-capacitors and lithium-ion storage as well as NaS advanced batteries and VRB flow battery. The main objective of the study is to find the most appropriate ESS consistent with a power quality priority. Several parameters are used for the investigation: efficiency, load management, technical maturity, costs, environmental impact and power quality.

关键词： Multiple Criteria Analysis Fuzzy Sets AHP Method Energy Storage Systems Power Quality

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Fuzzy Preference Relations: Methods and Power engineering Applications

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OPSEARCH 2017年第1期39卷 34-45页

作者： Petr Ya. Ekel Luiz D. B. Terra Post Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Brazil

Two classes of problems are considered within the framework of a general approach to solve optimisation problems with fuzzy coefficients, referred to as and models in the literature. This paper is concerned with the latter and proposes an approach which replaces the initial problem by a set of associated mutually interrelated models. To reduce the decision uncertainty region, the problem is converted to a multicriteria decision problem in a fuzzy environment using two methods. The first method reduces the region sequentially through a step-by-step comparison of alternatives. The second method analyses membership functions of a subset of non-dominated alternatives, considering all criteria simultaneously. The results have general applicability and are being used in power engineering planning in Brazil.

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Modeling and control of a XY positioning table 12

Modeling and control of a XY positioning table

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12th IEEE International Conference on Industry Applications, INDUSCON 2016

作者： Moreira, Lucas J. Da S. Dias, Christian C. Lima, Rafael B. C. Barros, Pericles R. Acioli, George Post-Graduate Program in Electrical Engineering-PPgEE COPELE Federal University of Campina Grande-UFCG Campina Grande PB58429-900 Brazil Graduate Program in Electrical Engineering-PGEE Federal University of Campina Grande-UFCG Campina Grande PB58429-900 Brazil Electrical Engineering Department-DEE Federal University of Campina Grande-UFCG Campina Grande PB58429-900 Brazil

ISBN: (纸本)9781509051274

This paper is about modeling and control of a XY positioning table. It is described the construction and instrumentation of a double axis positioning system. It is developed a general electromechanical model, followed by the identification of simplified models for control purposes. At last, it is proposed a PID control strategy, tuned by Internal Model Control (IMC) technique. © 2016 IEEE.

关键词： Three term control systems

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A neural network modelling of steel joint block shear capacity

A neural network modelling of steel joint block shear capaci...

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9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental engineering, AICivil-Comp 2007

作者： Rodrigues, F. Neto, L. Biondi Da S. Vellasco, P.C.G. De Lima, L.R.O. Vellasco, M.M.B.R. Post-Graduate Program in Civil Engineering Brazil Electronic Engineering Department Brazil Structural Engineering Department State University Rio de Janeiro Brazil Electrical Engineering Department Pontifical Catholic University Rio de Janeiro Brazil

ISBN: (纸本)9781905088201

Despite the multiple failure modes associated to bolted steel joints the block shear failure is frequently the controlling limit state of gusset plates, tension members and coped beam joints. The block shear rupture is characterised by a condition where a steel block area, nearby the holes of bolted joint region, reaches its maximum capacity dictated by a tension to shear interaction. If the joint is loaded beyond this limit a steel block is eventually separated from the main structure. Many models have been proposed to avoid shear block failure in steel design. These models incorporate a combination of the various hypotheses that control the structural rupture. In the majority of cases, it involves a combination of rupture and yielding in the tension and shear planes of the designed joint. Various design formula for this structural engineering problem were proposed all over the years but a closed solution has not yet been reached, due to the influence of several independent parameters. Many studies have already been carried out with the available experimental data, however, non negligible errors are still present in the current design formulae. The main objective of the present paper is to present a back propagation neural network evaluation of the block shear phenomenon. The main neural network input parameters were the geometrical and material variables that control the block shear design. The neural network output parameter was the block shear capacity. The neural network training was based on experimental results present in literature and adopted cross validation techniques to avoid the neural network overfitting. The neural network results were promising, with reduced associated errors and confirmed the possibility of using this methodology to generate trustworthy data. These new data, coupled with the existent experiments, can help the production of more accurate design formulae. © Civil-Comp Press, 2007.

关键词： Neural networks

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Ontology based modelling of operator training simulator scenarios from human error reports 5

Ontology based modelling of operator training simulator scen...

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5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2015

作者： Filho, Flávio Torres Aguiar, Yuska Paola Costa De Fátima Queiroz Vieira, Maria Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Department of Computing Federal University of Paraiba Rio Tinto Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Brazil

ISBN: (纸本)9789897581205

In industrial systems' simulated environments the assimilation of technical procedures by the operators under training is enhanced by reproducing similar to real situations experienced in the workplace. The experience and learning acquired in simulators is directly related to the quality and realism of the proposed training scenarios. On the other hand, the experience acquired is even more conducive to good working practices when it involves situations known to lead into errors. Often training scenarios are dependent on the tutor's experience and the knowledge of operator difficulties in the work environment. This paper proposes a systematic approach for building training scenarios to be simulated, based on the analysis and reproduction of situations described in the working environment error reports. This approach is based on the instantiation of ontologies built for both domains, covering the knowledge on both the error situations and operator training scenarios. This study is focused in the domain of electric power systems operation.

关键词： Errors

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Proposal of a Brain Computer Interface to command an autonomous car

Proposal of a Brain Computer Interface to command an autonom...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Javier Castillo Sandra Müller Eduardo Caicedo Alberto Ferreira De Souza Teodiano Bastos Post-Graduate Program of Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Post-Graduate Program of Electrical Engineering University of Valle Cali Valle Colombia Post-Graduate Program of Informatics Federal University of Espirito Santo Vitoria Brazil

This paper presents a proposal of Brain Computer Interface (BCI) to command an autonomous car. This BCI is based on the paradigm of visual evoked potentials (VEP) and event-related desynchronization (ERD). A menu interface is presented to the user with disabilities in order he/she can choose a destination for the autonomous car. The selection of the final destination is performed using visual stimuli flickering at different frequencies, analyzed through the analysis of brain signals present at the occipital region of the user's scalp. The power spectrum of these signals is then obtained, in order to get the frequency of the visual stimulation. Preliminary tests were performed with healthy users and people with disabilities, which reached an average success rate above 90%. The proposed system is also capable of turning on/off the stimuli, thus reducing the fatigue associated with particular visual stimuli.

关键词： Brain-computer interfaces Mobile robots Visualization Equations Proposals Educational institutions Navigation

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Proposal of evaluation methods of interaction between a mobile robot and children with Autism Spectrum Disorder

Proposal of evaluation methods of interaction between a mobi...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Christiane M. Goulart Javier Castillo Carlos T. Valado Eliete Caldeira Malte Trauernicht Teodiano F. Bastos-Filho Post-Graduate Program in Biotechnology Federal University of Espirito Santo Vitoria Brazil Post-Graduate Program in Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Graduate Program in Electrical Engineering Institute of Engineering Groningen The Netherlands

Manifestations of cognitive and neurobehavioral disorders such as repetitive movements, impaired communication and social interaction level characterize Autism Spectrum Disorder - ASD, a condition of unknown etiology and still without cure. Currently, many researches integrate robotics to the treatment of ASD with varied functions that allow interaction with children with this disorder. Therefore, evaluation criteria become important to analyze the efficiency the use of robotics in this interaction. The methods here proposed are Goal Attainment Scaling (GAS), System Usability Scale (SUS) and Fitts' Law. The use of such methods of evaluation allows transpose qualitative assessments into quantitative, making the work more robust and reliable.

关键词： Variable speed drives Autism Mobile robots Usability Robot sensing systems Educational institutions

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