Seminario 147 Model Predictive Control of Three-Phase Four-Leg Neutral-Point-Clamped Inverters Marco Rivera, Alumno de Doctorado en Ingeniería Eléctrica DIE-UFSM. Nos presentará sus avances en sus temas de investigación el día viernes 28 de Mayo a contar de las 16:00 hrs, la presentación se realizara en las dependencias del LCDA. Model Predictive Control of Three-Phase Four-Leg Neutral-Point-Clamped Inverters
This work presents a finite control set model predictive control strategy with a
prediction horizon of one sample time to control the three-phase four-leg neutral-
point-clamped (NPC) inverter with an output LC filter. The four-leg NPC converter is
developed to deliver power to the unbalanced/nonlinear three-phase loads and it can
produce three output voltages independently with one additional leg. The proposed
predictive method uses the discrete model of the inverter and load to predict the future
load and capacitor voltage behavior for each valid switching state of the converter. The
control method chooses a state which generates minimum error between the output
voltages and their references and as well as between the capacitor voltages. The
feasibility of the proposed predictive control scheme is verified by computer
simulations, showing a good performance and the capacity to compensate
disturbances while maintaining balancing of the dc-link capacitor voltages.
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