Artículo
Min-Max Predictive Control of a Five-Phase Induction Machine
Autor/es | Rodríguez Ramírez, Daniel
Martín Torres, Cristina Kowal Gornig, Agnieszka Arahal, Manuel R. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática Universidad de Sevilla. Departamento de Ingeniería Electrónica |
Fecha de publicación | 2019-09 |
Fecha de depósito | 2020-01-30 |
Publicado en |
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Resumen | In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for
the predictive stator current control of a five-phase induction machine (IM). The min-max operator
is explored for the first ... In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current control of a five-phase induction machine (IM). The min-max operator is explored for the first time as an alternative to the traditional loss function. With this proposal, the selection of voltage vectors does not need weighting factors that are normally used within the loss function and require a cumbersome procedure to tune. In order to cope with conflicting criteria, the proposal uses a decision function that compares predicted errors in the torque producing subspace and in the x-y subspace. Simulations and experimental results are provided, showing how the proposal compares with the traditional method of fixed tuning for predictive stator current control. |
Identificador del proyecto | DPI 2016-76493-C3-1-R
2014/425 |
Cita | Rodríguez Ramírez, D., Martín Torres, C., Kowal Gornig, A. y Arahal, M.R. (2019). Min-Max Predictive Control of a Five-Phase Induction Machine. Energies, 12 (19). Article number 3713. |
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