Revista Eletrônica de Potência (Brazilian Journal of Power Electronics)

Palavras Chaves: controle de corrente, Controle indireto orientado por campo Controle preditivo robusto, Deadbeat, Motor de Indução, Variações de parâmetros

Resumo
O controle preditivo baseado em modelo tem ganhado destaque na área de acionamentos de máquinas de indução. Entre as suas principais vantagens estão o alto desempenho, a flexibilidade e a simplicidade de implementação. No entanto, eventuais variações nos parâmetros da planta comprometem o desempenho do controle. Propostas para o aumento da robustez dessa técnica têm sido objeto de pesquisa com diferentes abordagens, como modificações no modelo matemático da planta e projetos de novos observadores de fluxo. Este trabalho propõe um controle preditivo robusto baseado em modelo de corrente, empregando o controle indireto orientado por campo no referencial síncrono. A corrente do estator e o fluxo do rotor são tomados como variáveis de estado e o vetor tensão do estator é tido como a entrada. O seu diferencial com relação à estratégia de controle preditivo por estados finitos clássica está na construção do algoritmo de controle. O vetor tensão é calculado em duas componentes, combinando o controle preditivo clássico com a abordagem deadbeat: uma considera a referência de corrente do estator e a outra considera as perturbações causadas por erros de parâmetros. O desempenho do método de controle foi verificado através da condução de ensaios em bancada de teste experimental ao se analisar o comportamento estacionário e dinâmico do sistema. Os resultados corroboram a eficácia da proposta de controle robusto contra variações paramétricas.

Title: Robust Finite Control Set Current Control for Induction Motor Using Deadbeat Approach in Synchronous Reference Frame

Keywords: Current control, Deadbeat, Indirect field oriented control, Induction motor, Parameters variations, Robust predictive control

Abstract
Model-based predictive control has gained prominence in induction machine drives. Its main advantages are high performance, flexibility, and simplicity of implementation. However, eventual variations in plant parameters compromise the performance of the control. Proposals to increase the robustness of this technique have been the object of research with different approaches, such as modifications in the mathematical model of the plant and projects of new flow observers. This work proposes a robust predictive control based on a current model, using indirect control field-oriented in the synchronous frame. The stator current and rotor flux are taken as state variables, and the stator voltage vector is taken as the input. Its differential concerning the classic finite control set predictive control strategy lies in the construction of the control algorithm. The voltage vector is calculated in two components by combining the classic predictive control with the deadbeat approach: one considers the stator current reference, and the other considers disturbances caused by parameter errors. The performance of the control method was verified by conducting tests on an experimental test bench when analyzing the stationary and dynamic behavior of the system. The results corroborate the effectiveness of the proposed robust control against parametric variations.

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