Teses em Engenharia Elétrica (Doutorado) - PPGEE/ITEC

URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/2317

O Doutorado Acadêmico inicio-se em 1998 e pertence ao Programa de Pós-Graduação em Engenharia Elétrica (PPGEE) do Instituto de Tecnologia (ITEC) da Universidade Federal do Pará (UFPA).

Navegar

Agora exibindo 1 - 9 de 9

Acesso aberto (Open Access)
Análise de sistemas não-lineares e síntese de operadores inversos por séries de volterra diagonais
(Universidade Federal do Pará, 2019-08-22) TEIXEIRA, Raphael Barros; BAYMA, Rafael Suzuki; http://lattes.cnpq.br/6240525080111166; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
This work proposes innovative strategies for the analysis of nonlinear systems and the synthesis of inverse operators using the Volterra diagonal series. By expressing the output explicitly from the input, the Volterra series enable nonlinear analysis in the frequency domain. However, the multidimensional nature of the model confers several difficulties to its systematic use. This work takes a new look at the so-called Volterra series in diagonal coordinates, in which Volterra operators are expressed as a set of linear and one-dimensional filters that process nonlinear polynomial terms of the input. The proposition of the rational form for these filters leads to exact and compact Volterra models, which exhibit a direct connection with modern nonlinear formalisms, notably the Wiener and Hammerstein block structured models, and the non-linear, autoregressive polynomial models with exogenous input (NARX). In particular, it is proposed a strategy to obtain diagonal Volterra models from the polynomial NARX. The strategy is called derivative method, because it depends only on the established results of the differential calculus. This is important because a NARX model can fit relatively well to experimental data to describe a wide variety of practical systems. A subsequent study through the Volterra series comes as an additional natural step of analysis. This result also opens up possibilities for non-linear synthesis. A problem that has received increasing attention in systems engineering is that of the synthesis of inverse nonlinear operators, through which it tries to reverse distortions generated by the underlying system, preserving the integrity of the information of interest. In this case we propose a strategy of synthesis of Volterra inverse diagonal operators for particular classes of nonlinear polynomial models. It is a numerical approach where the synthesis is driven by an optimization problem that is inspired by the classic inverse p-order operator. Keywords: Non-linear systems, Volterra series diagonals, systems identification, nonlinear analysis, dynamic inversion
Acesso aberto (Open Access)
Desenvolvimento a eventos discretos de um controlador de balanceamento de fases para sistemas legados de baixa tensão e microgrids
(Universidade Federal do Pará, 2019-06-10) VILCHEZ, José Ruben Sicchar; SILVA, José Reinaldo; http://lattes.cnpq.br/9317869378701106; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
In the up-grading of the legacy low-voltage system as urban microgrids, phase - balance algorithm development becomes useful and important to ensures robust and reliable load balancing, establish an efficient automation workflow among consumers, the legacy lowvoltage grid and the supervision center of the distribution network of electrical power. It constituting an alternative. This may constitute an alternative phase-balancing control system based on consumer units dynamic switching rather than electrical current injection by microgrids. Formal automation design of these algorithms become an interesting milestone for performance evaluation and properties validation for their insertion in the new microgrid architecture. This may evaluate the system's reliable performance when verifying dynamic properties as well as, the univocal solutions that ensure load transfer and load stability robustness of low-voltage grid, without operation interruptions neither conflicting events. This work, proposes a new phase-load- balancing control system based on combined algorithms resulting from a Hierarchical Petri net system design. Through this model it was obtained an optimized and reliable automated workflow of load balance in the low-voltage grid phases, with an efficient choice of consumer units for the switching process, aiming to obtain a robust steady state of load against unbalances between phases, and neutral current minimized. From the model obtained called “Transformer- Phase Balancing Controller” (T-PBC) were developed four integrated algorithms: the Load Transfer Algorithm, that calculates the load imbalance level and power to be transferred in the transformer phases; the Consumption Diagnose Algorithm, that identifies the load levels margins in each consumer unit; the Consumption Forecast Algorithm, that forecast the monthly energy future states in consumers; and the Switch Selection Algorithm, that selects the consumers units to switch based on the future state of energy consumption, the load level margins and the average of the energy future states. Based on the performance results, it was obtained, the efficient reduction of the neutral current and the load average unbalance in the low-voltage grid phases, with load stability robustness about three months, making it an efficient alternative system against load unbalances in the legacy low-voltage grid and the microgrids.
Acesso aberto (Open Access)
Estratégias de controle digital a parâmetros fixos e supervisionados por lógica fuzzy aplicadas na melhoria do desempenho de sistemas elétricos de potência: resultados simulados e com experimentação em um micro gerador de energia
(Universidade Federal do Pará, 2014-04-30) MOUTINHO, Marcelo Nascimento; BARRA JÚNIOR, Walter; http://lattes.cnpq.br/0492699174212608; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
This thesis presents the experimental and simulated results obtained in the project and implementation of Generalized Predictive Control, an advanced digital predictive control technique, and fuzzy logic, applied to control and improvement of the stability of electric power systems. One of the main contributions of this thesis is of pratical nature, since a part of the proposed predictive control strategies were experimentaly avaliated by real avaliation tests. These tests are realized with a small scale real power system. There are other contributions like these: a) the project and validation of a computational power system simulator used to evaluate the behavior of the proposed control structures when operational contingencies, commonly observed in normal operation of the power system, are simulated; b) assembly a prototype of a small scale real electric power system used to evaluate a part of the proposed predictive control techniques. The assembled power system prototype is formed by two electric machines: a DC motor and a salient-pole synchronous generator. These two machines are mechanicaly coupled and connected to a commercial power system through a small transmission line simulator. The prototype was assembled at the Centro de Tecnologia da ELETROBRAS-ELETRONORTE (LACEN), located in Belém, Pará, Brazil. Using the prototype's features, it is possible to evaluate and validate advanced monitoring and control strategies. After these avaliations, these strategies can be used as predictive maintenance tools for the rotating electrical machines in operation at ELETROBRAS-ELETRONORTE.
Acesso aberto (Open Access)
Estudo e desenvolvimento de um protótipo para redução da interferência de modo comum usando balanceamento dinâmico de impedância aplicado em biosensores e sensores eletroresistivos
(Universidade Federal do Pará, 2013-10-25) NEGRÃO, João Francisco Ribeiro; ARAÚJO, Guilherme Augusto Limeira; http://lattes.cnpq.br/8261564685433904; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
Electromagnetic interference caused by the electric power line adversely affects the signals of electronic instruments, especially those with low amplitude levels. This type of interference is known as common-mode interference. There are many methods and architectures used to minimize the influence of this kind of interference on electronic instruments, the most common of which is the use of band-reject filters. This paper presents the analysis, development, prototype and test of a new reconfigurable filter architecture for biomedical instruments and measuring data of high complexity fluid flow, such as two phase flows, interference in the measurement circuit may affect the measured data, aiming to reduce the common-mode interference and preserve the useful signal components in the same frequency range as that of the noise, using the technique of dynamic impedance balancing. . Also, any measurement system also suffers interference in the power line frequency (50/60 Hz in Brazil and France, 60Hz in United States of America). The circuit blocks were mathematically modeled and the overall closed-loop transfer function was derived. Then the project was described and simulated in the VHDL_AMS language and also in an electronics simulation software, using discrete component blocks, with and without feedback. After theoretical analysis and simulation results, a prototype circuit was built and tested using as input a signal obtained from ECG electrodes and Resistivity Needle Probes. The results from the experimental circuit matched those from simulation: a 97.6% noise reduction was obtained in simulations using a sinusoidal signal, and an 86.66% reduction was achieved using ECG electrodes in experimental tests. In both cases, the useful signal was preserved. The method and its architecture can be applied to attenuate interferences, which occur in the same frequency band as that of the useful signal components, while preserving these signals.
Acesso aberto (Open Access)
Investigação de estratégias de controle de ordem fracionárias aplicadas a sistemas elétricos e industriais
(Universidade Federal do Pará, 2018-11-14) AYRES JÚNIOR, Florindo Antonio de Carvalho; LENZI, Marcelo Kaminski; http://lattes.cnpq.br/8471869055654497; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
The use of control techniques is of great importance to maintain competitive performance for electrical and industrial systems suitable to trace behavior adjustment points as close as possible to a desired set point of operation for deviation and oscillation reduced. In this work, fractional automatic control techniques are investigated to improve the performance of industrial systems. Two fractional-order control techniques are studied: one of the Lead-Lag based fractional order (FOLL) type based on the frequency response method and applied to the improvement of power system stabilizers (ESP). Control laws are implemented in the form of digital control in an embedded system, based on microcontroller. The performance of the compensators is evaluated by performing several experimental tests on a 10 kVA reduced scale power system located at the UFPA Electrical Engineering Laboratory. Variation tests are carried out at one pulse in the generator voltage reference at various power operation points of the micro generator system, in addition to the robustness analysis of the system using a robust plot tool from the Bode diagram known as RBode. Second, there is an investigation of a fractional pole allocation technique (FOPP) which takes into account temporal response criteria of fractional systems to three terms, which, in this work, are overtime, settlement time, applied in a coupled tanks system, and in a Buck DC / DC converter, where the FOPP technique is compared with two other techniques: these are the classical technique of integer pole allocation (IOPP), and a tuning technique of FOPID controllers based on Gain Margins and Phase Margins (GMPM). The results are corroborated by simulations in Matlab / Simulink Environment. The results show a reduction of approximately 15% at least in the ITAE and ISE indexes related to the dynamic performances of the systems addressed in this study associated with the controlled variable, with the insertion of the fractional controllers based on both the topology using the FOLL and using the FOPP and GMPM techniques, compared to the values obtained from these indexes of the controllers tuned by conventional whole order techniques.
Acesso aberto (Open Access)
Métododos de identificação fuzzy para modelos autoregressivos sazonais madiante a função de autocorrelação estendida
(Universidade Federal do Pará, 2016-12-13) CARVALHO JÚNIOR, José Gracildo de; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
In this study, a fuzzy-based strategy for improvement of forecasting performance in data time series analysis is proposed. The designed methodology is target to seasonal autoregressive moving average processes modelling and can be applied to an wide range of real world applications. By means of hybrid approach based on a fuzzy version of correlation functions, the interpolating and the generalization capabilities of fuzzy systems are exploited in order to obtain a robust forecasting, even considering series with missing data points. In order to increase the algorithm accuracy, several design parameters were tested and optimized by computational tests. The following parameters are considered in this process: the length of the trajectory of the time series, the number of fuzzy sets, and the limit for activation of the support of the triangular fuzzy sets. It was observed that the membership function of triangular form lead to improved forecasting performance. A simulation to evaluate the accuracy of the forecasting of a fuzzy seasonal autoregressive model is described. To demonstrate the eectiveness of the proposed methodology, four case studies on data from some public data base was carried-out. The results conrm the improved performance of the proposed algorithm, allowing to obtain a reduced forecasting error in comparison to a conventional statistical methodology and fuzzy, for instance. The projections produced by the new method when subjected to fuzzy condence interval analysis showed satisfactory accuracy.
Acesso aberto (Open Access)
Previsão de raios utilizando técnicas de inteligência computacional e dados de sondagem atmosférica por satélite
(Universidade Federal do Pará, 2017-11-30) ALVES, Elton Rafael; SÁ, José Alberto Silva de; http://lattes.cnpq.br/9459574384403283; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
Atmospheric discharges offer great risks to the population and activities that involve different systems such as telecommunications, energy distribution and transportation and among others. Lightning prediction can contribute to minimize the risks of this natural phenomenon. Therefore, this thesis presents a model for lightning prediction based on satellite atmospheric sounding data, validated with lightning data for study areas of the Amazon region in Brazil, through an investigation that considered five period cases for validation of lightning prediction: case 1 (one hour), case 2 (two hours), case 3 (three hours), case 4 (four hours) and case 5 (five hours). Two different forecasting methodologies were used: the first version of the predictor used data from all study areas in the random formation of the sets training, validation and test. In a second version, we did not use the criterion of randomness of the data in the formation of the training and test sets, and same were limited for each area of the study, in order to create individualized forecasts by geographical area studied. The machine learning technique used to predict lightning was the Artificial Neural Network (ANN) trained with Levenberg-Marquardt backpropagation algorithm to classify modeling related to lightning prediction. This classification relied on the possibility of lightning prediction from the vertical profile of air temperature obtained from satellite NOAA-19. The results obtained by RNA, in the first approach, were compared with traditional methodologies established in the lightning prediction literature, in the second approach the results obtained showed the predictor's output for real test data. Results show that ANN was capable of identifying adequately the class to which a new event belongs to in relation to categories of occurrence and absence of lightning. For the first approach, the best performance for case 5 was obtained, with a test accuracy of 95.6%, while for the second approach a general test accuracy of 82.04% was obtained.
Acesso aberto (Open Access)
Projeto de controle robusto de ordem fracionária para sistemas com incerteza paramétrica
(Universidade Federal do Pará, 2024-10-21) GOMES, Marcus Ciro Martins; AYRES JÚNIOR, Florindo Antonio de Carvalho; http://lattes.cnpq.br/1919442364965261; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
This research introduces a novel methodology that integrates fractional-order control theory with robust control techniques to address parametric uncertainty, aimed at enhancing the performance of linear time-invariant uncertain systems with integer or fractional orders, referred to as Fractional-Order Robust Control (FORC). Unlike traditional methods, this proposed approach offers a new formulation of inequalitiesbased design, broadening the scope for discovering improved solutions through linear programming optimization. Consequently, fractional-order controllers are tailored to ensure desired transient and steady-state performance in closed-loop systems. In order to facilitate the digital implementation of the designed controller, the impulse response invariant discretization of fractional-order differentiators (IRID-FOD) is used to approximate fractional-order controllers to integer-order transfer functions. Additionally, the Hankel reduction order method is applied, making the controllers suitable for hardware deployment. Experimental tests conducted on a thermal system, along with assessment results based on time-domain responses and robustness analysis supported by performance indices and set value analysis, demonstrate the enhanced and robust performance of the proposed FORC methodology compared to classical robust control under parametric uncertainty.
Acesso aberto (Open Access)
SmartLVEnergy: um framework para gestão energética inteligente e descentralizada de sistemas legados de baixa tensão
(Universidade Federal do Pará, 2024-07-11) FERNANDES, Rubens de Andrade; GOMES, Raimundo Cláudio Souza; http://lattes.cnpq.br/4244097441063312; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
Essential for technological and economic progress, electrical energy requires well-founded solutions and strategies for efficient and sustainable management. Existing consumer units, lacking modern technological resources, need gradual alternatives to optimize energy use, making the most of pre-established resources. In this context, retrofit offers an effective update for these infrastructures. Systematic models and strategies can standardize and ensure the replication of these solutions in different contexts through abstractions known as frameworks. However, there is a lack of frameworks to enable the implementation of systematic retrofit strategies for energy management, especially in the low-voltage energy sector. To fill this gap, this thesis presents the SmartLVEnergy framework, proposed to guide the design of innovative retrofit strategies to modernize legacy low-voltage installations with IoT, AIoT, and distributed computing solutions, optimizing energy management with distributed technological resources and advanced predictive capabilities. The experiments conducted in this thesis are presented in the format of aggregated scientific articles, which contributed to the conception of the SmartLVEnergy framework. As a result, it was possible to implement energy management tools in existing building and industrial scenarios in a systematic manner, based on the premises of the proposed framework. The main focus was the analysis and prediction of the energy demand of the installations and their respective circuits, allowing to anticipate and mitigate demand overrun events of the consumer units, following the guidelines of the Brazilian National Electric Energy Agency. The strategies conceived included the development, use, and integration of sensing, communication, and computing resources, distributed locally, in the cloud, and at the edge, according to the principles of the SmartLVEnergy framework, maximizing the use of existing resources according to the specific needs of each installation. The proposed framework is flexible and allows the integration, expandability, and interoperability of technological solutions across legacy systems, enabling operations according to the peculiarities and resources of each pre-existing context. This versatility confirms the relevance of this work as a robust and sustainable proposal to promote energy efficiency today, especially in legacy low-voltage systems.

Navegar

Navegando Teses em Engenharia Elétrica (Doutorado) - PPGEE/ITEC por Orientadores "COSTA JÚNIOR, Carlos Tavares da"