Robust Generalized Predictive Control applied to the mitigation of electromagnetic torque oscillations in a wind energy conversion system based on DFIG

Dias, Samuel; Silva, Wellington A.; Neto, Tobias Rafael Fernandes; Reis, Laurinda L. N. dos; Torrico, Bismark C.; Campos, João V.

doi:10.1109/argencon.2016.7585310

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Finite control set directly uses as a control input one of the eight possible space vector signals, considering a two level voltage source converter, under optimization process [3], [13], [14], and the continuous control set that uses a modulated control signal [15]. To reach this objective, the DFIG system can be modeled as a space state equation [16], [17], by using a transfer function of the system [11], [18], [19], non-linear mathematical models [20] or continuous time models [21]. The non-linear models are useful in many applications [22]- [24], because it implies a better representation of the real system.…”

Section: Introductionmentioning

confidence: 99%

Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design

et al. 2020

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paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to design the weighting matrices of an incremental Model-Based Predictive Controller (MBPC) for a Doubly Fed Induction Generator (DFIG) applied in a small-scale wind energy system. In contrast to the original PSO, the proposed method has an inner mechanism for dealing with constraints and an adaptive search factor. Additionally, the proposed incremental MPBC implementation does not need the flux information, since the intrinsic integral action rejects the constant flux disturbance. Finally, experimental results show that the proposed controller with the new constraint handling design method is nearly two times faster (In terms of settling time) than other formulations reported in the literature.

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Section: Introductionmentioning

confidence: 99%

Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design

et al. 2020

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“…O controle preditivo tipo finite control set para as correntes do rotor é proposto por (ELIZONDO et al, 2014), no qual o vetor de tensão é selecionado pela corrente do rotor prevista e sua referência. Outra possibilidade é o controle preditivo generalizado (OUARI; REKIOUA; OUHROUCHE, 2014;SILVA et al, 2014;DIAS et al, 2016) que emprega a função de transferência do gerador para calcular a tensão do rotor a ser aplicada aos terminais do rotor do GIDA. No entanto, nos controladores mencionados, as incertezas da planta não aparecem no projeto do controlador.…”

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Controle preditivo robusto tipo Finite Control Set aplicado ao controle das potências do gerador de indução duplamente alimentado.

Oliveira¹

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aos amigos que fizeram parte desta conquista e aos que acreditam que a educação pode ser o melhor caminho para um mundo melhor. Resumo Oliveira, A. L. de Controle Preditivo Robusto tipo Finite Control Set Aplicado ao Controle das Potências do Gerador de Indução Duplamente Alimentado. 102 p. Tese de doutorado -Escola Politécnica, Universidade de São Paulo, 2019.Esta tese de doutorado propõe um controlador preditivo robusto tipo finite control set aplicado ao controle das potências do gerador de indução duplamente alimentado. Desta forma, a proposta possui dois membros do vetor tensão predita do rotor, sendo que o primeiro termo calcula a tensão considerando as referências de corrente do rotor e o segundo é projetado considerando os erros devido à estimação dos parâmetros da máquina. Os referidos erros devido a variações de parâmetros são modelados como alterações na corrente do rotor. O vetor de tensão a ser fornecido ao rotor da máquina é selecionado através da minimização de uma função custo. Os resultados obtidos na simulação computacional e em bancada experimental confirmam o desempenho do controlador proposto. Palavras-chave: gerador de indução duplamente alimentado, controle robusto, finite control set, energia eólica, controle preditivo de modelo. Abstract Oliveira, A. L. de . 102 p. Ph.D. Thesis -Polytechnic School, University of São Paulo, 2019.This Ph.D. thesis proposes a robust predictive controller type finite control set applied to control of the powers at doubly fed induction generator. In this way, the proposal has two members of the predicted voltage vector of the rotor, the first term calculating the voltage considering the rotor references current and the second one is projected considering the errors due to the estimation of the machine parameters. The errors due to variations parameter are modeled as changes in the rotor current. The voltage vector to be supplied to the machine rotor is selected by minimizing a cost function. The results obtained in the computational simulation and experimental bench confirm the performance of the proposed controller.

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Generalized Predictive Control applied to the DFIG power control using state-space model and voltage constraints

Rodrigues

Vilcanqui²,

Conde

et al. 2020

Electric Power Systems Research

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Robust Generalized Predictive Control applied to the mitigation of electromagnetic torque oscillations in a wind energy conversion system based on DFIG

Cited by 6 publications

References 14 publications

Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design

Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design

Controle preditivo robusto tipo Finite Control Set aplicado ao controle das potências do gerador de indução duplamente alimentado.

Generalized Predictive Control applied to the DFIG power control using state-space model and voltage constraints

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