Artificial neural network model of discharge lamps in the power quality context

This paper presents a methodology for modeling high intensity discharge lamps based on artificial neural networks. The methodology provides a model which is able to represent the device operating in the frequency of distribution systems, facing events related to power quality. With the aid of a data acquisition system to monitor the laboratory experiment, and using $$\text{ MATLAB }^{\textregistered }$$ software, data was obtained for the training of two neural networks. These neural networks, working together, were able to represent with high fidelity the behavior of a discharge lamp. The excellent performance obtained by these models allowed the simulation of a group of lamps in a distribution system with shorter simulation time when compared to mathematical models. This fact justified the application of this family of loads in electric power systems. The representation of the device facing power quality disturbances also proved to be a useful tool for more complex studies in distribution systems. © 2013 Brazilian Society for Automatics - SBA.

Control design applied to a non-ideal structural system with behavior chaotic

In this paper we study the behavior of a structure vulnerable to excessive vibrations caused by an non-ideal power source. To perform this study, the mathematical model is proposed, derive the equations of motion for a simple plane frame excited by an unbalanced rotating machine with limited power (non-ideal motor). The non-linear and non-ideal dynamics in system is demonstrated with a chaotic behavior. We use a State-Dependent Riccati Equation Control technique for regulate the chaotic behavior, in order to obtain a periodic orbit small and to decrease its amplitude. The simulation results show the identification by State-Dependent Riccati Equation Control is very effective. © 2013 Academic Publications, Ltd.

Sistema de extração de potência (power harvesting) usando transdutores piezelétricos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Retificador boost entrelaçado com elevado fator de potência e sem ponte de diodos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Alocação de Chaves para Transferências Automáticas de Cargas entre Subestações Utilizando Algoritmo Busca Tabu Reativa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Alocação otimizada de bancos de capacitores em sistemas de distribuição de energia elétrica através de metaheurísticas multiobjetivo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Aplicação da teoria de potência conservativa para compensação de distúrbios de corrente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Célula de comutação de três estados aplicada ao pré-regulador boost de estágio único e elevado fator de potência

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fluxo de potência ótimo em sistemas multimercados através de um algorítmo evolutivo multiobjetivo

Pós-graduação em Engenharia Elétrica - FEIS

Metodologia para o despacho de potência reativa visando o controle de tensão baseado em algoritmos genéticos

Este trabalho tem como objetivo apresentar um aplicativo para auxiliar no planejamento de sistemas elétricos, através de uma metodologia para controle de tensão e minimização das perdas, através da otimização da injeção de reativos, mantendo a tensão nos barramentos dentro de limites pré estabelecidos. A metodologia desenvolvida é baseada em um sistema hibrido, que utiliza inteligência computacional baseada em um algoritmo genético acoplado a um programa de fluxo de carga (ANAREDE), que interagem para produzir uma solução ótima. Os resultados obtidos mostram que a técnica baseada no algoritmo genético é bem adequada ao tipo de problema ora tratado referente a minimização de perdas reativas e a melhoria do perfil da tensão em redes elétricas, sendo este atualmente um problema crítico em parte do Sistema Interligado Nacional (SIN).

Internal Combustion Engine's Throttle Control as a Motivational Theme for Teaching Microprocessors Systems Lab Classes

The increased fuel economy and driveability of modern internal combustion engine vehicles (ICEVs) are the result of the application of advanced digital electronics to control the operation of the internal combustion engine (ICE). Microprocessors (and micro controllers) play a key role in the engine control, by precisely controlling the amount of both air and fuel admitted into the cylinders. Air intake is controlled by utilizing a throttle valve equipped with a motor and gear mechanism as actuator, and a sensor enabling the measurement of the angular position of the blades. This paperwork presents a lab setup that allows students to control the throttle position using a microcontroller that runs a program developed by them. A commercial throttle body has been employed, whereas a power amplifier and a microcontroller board have been hand assembled to complete the experimental setup. This setup, while based in a high-tech, microprocessor-based solution for a real-world, engine operation optimization problem, has the potential to engage students around a hands-on multidisciplinary lab activity and ignite their interest in learning fundamental and advanced topics of microprocessors systems.

Energy Management and Control for Islanded Microgrid Using Multi-Agents

This paper presents a multi-agent system for real-time operation of simulated microgrid using the Smart-Grid Test Bed at Washington State University. The multi-agent system (MAS) was developed in JADE (Java Agent DEvelopment Framework) which is a Foundation for Intelligent Physical Agents (FIPA) compliant open source multi-agent platform. The proposed operational strategy is mainly focused on using an appropriate energy management and control strategies to improve the operation of an islanded microgrid, formed by photovoltaic (PV) solar energy, batteries and resistive and rotating machines loads. The focus is on resource management and to avoid impact on loads from abrupt variations or interruption that changes the operating conditions. The management and control of the PV system is performed in JADE, while the microgrid model is simulated in RSCAD/RTDS (Real-Time Digital Simulator). Finally, the outcome of simulation studies demonstrated the feasibility of the proposed multi-agent approach for real-time operation of a microgrid.

Enteral nutrition feeding alters antioxidant activity in unstimulated whole saliva composition of patients with neurological disorders

Patients with neurological disorders have an increased risk of oral and systemic diseases due to compromised oral hygiene. If patients lose the ability to swallow and chew food as a result of their disorder, enteral nutrition is often utilized. However, this type of feeding may modify salivary antioxidant defenses, resulting in increased oxidative damage and the emergence of various diseases. The aim of this study was to evaluate the effects of enteral nutrition on biochemical parameters in the unstimulated whole saliva composition of patients with neurological disorders. For this, enzymatic (superoxide dismutase - SOD; glutathione peroxidase - GPx) and non-enzymatic (uric acid; ferric ion reducing antioxidant power - FRAP) antioxidant activity, as well as a marker for oxidative damage (thiobarbituric acid reactive substances - TBARS) were analyzed. Unstimulated whole saliva was collected from 12 patients with neurological disorders and tube-feeding (tube-fed group - TFG), 15 patients with neurological disorders and normal feeding via the mouth (non-tube-fed group - NTFG), and 12 volunteers without neurological disorders (control group - CG). The daily oral hygiene procedures of TFG and NTFG patients were similar and dental care was provided monthly by the same institution's dentist. All patients exhibited adequate oral health conditions. The salivary levels of FRAP, uric acid, SOD, GPx, TBARS, and total protein were compared between studied groups. FRAP was increased (p < 0.05) in the NTFG (4651 +/- 192.5 mmol/mL) and the TFG (4743 +/- 116.7 mmol/mL) when compared with the CG (1844 +/- 343.8 mmol/mL). GPx values were lower (p < 0.05) in the NTGF (8.24 +/- 1.09 mmol/min/mg) and the TFG (8.37 +/- 1.60 mmol/min/mg) than in the CG (15.30 +/- 2.61 mmol/min/mg). Uric acid in the TFG (1.57 +/- 0.23 mg/dL) was significantly lower than in the NTFG (2.34 +/- 0.20 mg/dL) and the CG (3.49 +/- 0.21 mg/dL). Protein was significantly lower in the TFG (5.35 +/- 0.27 g/dL) than in the NTFG (7.22 +/- 0.57 g/dL) and the CG (7.86 +/- 0.54 g/dL). There was no difference in the salivary flow rate and SOD between groups. Enteral nutrition in patients with neurological disorders was associated with lower oxidative damage, resulting in increased salivary. antioxidant capacity. These results emphasize the importance of oral care for this population to prevent oral and systemic diseases. (C) 2014 Elsevier Ltd. All rights reserved.

Silica-based Nano-coating on Zirconia Surfaces Using Reactive Magnetron Sputtering: Effect on Chemical Adhesion of Resin Cements

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Application of passive control to energy harvester efficiency using a nonideal portal frame structural support system

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)