Manuel R. Arahal

TL;DR: A model-based predictive control (MBPC) for the current regulation of asymmetrical dual three-phase AC machines is analyzed and overcomes the difficulties of multiphase current control, avoiding complex controllers and modulation techniques, but at the expense of an increased computational cost.

TL;DR: Two open-phase fault-tolerant control schemes are experimentally compared in a real five-phase induction machine and it is shown that predictive control provides faster control response and superior performance at low-speed operation but is found to be less resilient to fault detection delays and to have higher current ripple.

TL;DR: The overall bifurcation analysis of a five-phase induction-motor drive when a third harmonic is injected for torque-enhancement purposes confirms that the harmonic injection provides not only torque enhancement but also more robust controllers.

TL;DR: A one-step modulation predictive current control technique is proposed for asymmetrical dual three-phase AC drives based on the use of a predictive model including the motor and the inverter and two switching states are applied.

TL;DR: In this paper, a short-term predictive neural network model is proposed to predict the electricity demand for the CIESOL bioclimatic building, located in the southeast of Spain.