2017 IEEE Energy Conversion Congress and Exposition (ECCE) 2017
DOI: 10.1109/ecce.2017.8096804
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Predictive current control for induction motor using online optimization algorithm with constrains

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Cited by 4 publications
(2 citation statements)
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“…If the effect of the leakage fluxes is neglected, this limitation can be forced in terms of the stator currents in the d 1 and d 3 axes (flux-producing currents of the machine), writing (19) in the following way (see [11] for more details):…”
Section: Electrical Constraints For the Control Strategymentioning
confidence: 99%
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“…If the effect of the leakage fluxes is neglected, this limitation can be forced in terms of the stator currents in the d 1 and d 3 axes (flux-producing currents of the machine), writing (19) in the following way (see [11] for more details):…”
Section: Electrical Constraints For the Control Strategymentioning
confidence: 99%
“…Then, a first control stage is in charge of obtaining optimal references for the dq currents using an optimisation process based on a continuous-control-set MPC technique [17]. This control stage utilises the machine model, cost functions and analytical methods to obtain the optimal references for the next control stage, where optimisation methods such as quadratic programming are normally used to deal with the imposed constraints [18,19]. In this work, the objective of this optimisation stage is to get the expected torque along with the minimisation of the copper losses, while respecting the defined maximum peak values of currents, voltages and the magnetisation levels.…”
Section: Electrical Constraints For the Control Strategymentioning
confidence: 99%