Publicações - engenharias
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ZANETI, R. N.;
Cristovão Vicente Scapulatempo Fernandes;
Ramiro Gonçalves Etchepare
Palavra-chave:
Water Quality;
water and sanitation services
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
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ALMEIDA, JULIO CÉZAR DE;
Alexandre Augusto Pescador Sardá;
OLIVEIRA, HERMES STEFANO FERREIRA DE
Palavra-chave:
Leakage rate;
Natural gas networks;
Hole diameter
Áreas do conhecimento:
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Dinâmica dos Gases;
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Mecânica dos Fluídos
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MUNIZ, EMERSON CLEISTER LIMA;
DANDOLINI, GERTRUDES APARECIDA;
Alexandre Augusto Biz
Palavra-chave:
Customer knowledge management;
CKM.;
CKM processes;
CKM activities;
CustomerKnowledge
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JIANG, YANSHENG;
LI, PENG;
LI, YUE;
Wang Chong
Palavra-chave:
fundamental solution;
radiofrequency ablation;
boundary element method
Áreas do conhecimento:
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Transferência de Calor;
Ciências Exatas e da Terra; Matemática; Matemática Aplicada; Física Matemática;
Engenharias; Engenharia Biomédica; Bioengenharia; Modelagem de Fenômenos Biológicos
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FINKLER, ANELIZE TEREZINHA JUNG;
DE LIMA LUZ, LUIZ FERNANDO;
KRIEGER, NADIA;
MITCHELL, DAVID ALEXANDER;
JORGE, LUIZ MÁRIO
Palavra-chave:
solid-state fermentation;
packed-bed bioreactor;
heat and mass transfer;
scale-up
Áreas do conhecimento:
Engenharias; Engenharia Química; Processos Industriais de Engenharia Química; Processos Bioquímicos
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FINKLER, ANELIZE TEREZINHA JUNG;
Luiz Fernando L Lima Jr;
KRIEGER, NADIA;
MITCHELL, DAVID ALEXANDER;
JORGE, LUIZ MÁRIO
Palavra-chave:
packed-bed bioreactor;
solid-state fermentation;
Aspergillus niger;
Heat and mass transfer model;
Two-phase model;
O2 uptake rate
Áreas do conhecimento:
Engenharias; Engenharia Elétrica; Telecomunicações;
Engenharias; Engenharia Química; Processos Industriais de Engenharia Química; Processos Bioquímicos
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DALPONTE DALLABONA, ITHIARA;
Alvaro Luiz Mathias;
Regina Maria Matos Jorge
Palavra-chave:
Processo oxidativo avançado;
hidropartícula;
Inovação
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Tecnologia de Alimentos;
Outros; Ciências Ambientais; Engenharia Ambiental;
Engenharias; Engenharia Química; Bioprocessos
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Cristiano Osinski;
Gideon Villar Leandro;
Gustavo Henrique da Costa Oliveira
Palavra-chave:
Load Frequency Control;
Fractional Order PID;
Optimization;
Fuzzy Sets;
Differential Evolution Algorithm
Áreas do conhecimento:
Engenharias; Sistemas Elétricos de Potência; Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
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Electrical power system has to operate properly even in the presence of load variations and other disturbances. One of the concepts that define this condition is frequency stability, and to deal with this issue, load frequency controllers (LFCs) have to be well designed and parameterized. The most frequent control approaches for LFC are PID controllers, with automatic tuning strategies. Recently, fractional-order PID has gained much interest due to its ability to improve closed-loop performance. This paper presents a new hybrid load frequency control strategy, called AFOPID. The main property of this algorithm is, based on a FOPID, to combine fuzzy sets and differential evolution (DE) for optimal parameter settings. The AFOPID’s parameters are tuned online in such a way that, in the occurrence of a load disturbance, the fuzzy logic updates its $$k_\mathrm{p}, k_\mathrm{i}$$ , and $$k_\mathrm{d}$$ coefficients to adapt the closed loop to the new operating condition. Then, the fractional coefficients $$\lambda $$ and $$\mu $$ are updated by using a DE strategy. The hybrid system improves the overall solution since the fuzzy system first sets a good operation point and then the DE refines the solutions acting on the fractional orders. The proposed controller and tuning method are validated on a mathematical model of a hydroelectric plant belonging to the Brazilian National Interconnected System (SIN). The strategy has been compared with other similar algorithms in the same situation presenting better closed-loop performance. For controllers evaluating, some performance indices were used, such as the analysis of overshoots/undershoots, settling times, the integral square error, the integral time square error, and the integral time absolute error. The results have shown that the hybrid method has proved to provide better closed-loop performance than similar solutions or when each method is used alone.
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Eduardo Luiz Ortiz Batista;
Maurizio Radloff Barghouthi;
Eduardo Márcio de Oliveira Lopes
Palavra-chave:
Adaptive filter;
FxNLMS algorithm;
Vibration Control
Áreas do conhecimento:
Engenharias; Projetos de Máquinas; Controle de Sistemas Mecânicos
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Feedforward active vibration control techniques aim at canceling vibrations occurring in a system by means of introducing intentional forces that generate destructively interfering vibrations. These forces are typically controlled using an adaptive filtering algorithm that tracks the system state in real time and seeks to minimize overall vibration. One important often-overlooked issue in such systems is related with the vibrations introduced by the adaptive control algorithm itself either during its transient learning phase or due to its non-ideal characteristic. These vibrations may become very significant in several mechanical structures due to resonance phenomena. In this context, the present work is dedicated to the development of an effective scheme for feedforward active vibration control that is capable of dealing with undesirable vibrations introduced by the adaptive controller. A particular version of the filtered-x normalized least-mean-squares (FxNLMS) algorithm tailored to the proposed scheme is also developed. Results obtained from numerical simulation as well as from an experimental device are presented aiming to demonstrate the effectiveness of the proposed scheme.
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GOMES DA SILVA, RAMON;
Matheus Henrique Dal Molin Ribeiro;
MORENO, SINVALDO;
MARIANI, V. C.;
LEANDRO DOS SANTOS COELHO
Palavra-chave:
Previsão de Séries Temporais;
previsão de consumo de energia elétrica;
ensemble learning
Áreas do conhecimento:
Engenharias; Pesquisa Operacional; Programação Linear, Não-Linear, Mista e Dinâmica;
Engenharias; Engenharia Elétrica; aprendizado de máquina;
Engenharias; Engenharia Elétrica; Inteligência Artificial
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Wind energy is one of the sources which is still in development in Brazil. However, it already represents 17% of the National Interconnected System. D…
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