Abstract
Multilevel converters are the most suitable and efficient candidates for high-power and medium-voltage industrial applications such as motor drives, traction, ship propulsion, regenerative conveyors, wind and photovoltaic energy conversion systems, and power quality conditioners. This book chapter reviews a model predictive control scheme for current control, balancing of dc capacitor voltages, switching frequency reduction and common-mode voltage mitigation in multilevel diode-clamped converters. The continuous- and discrete-time models of control variables of multilevel converters are formulated in terms of the switching states. A multiobjective cost function with suitable weighting factors is designed incorporating the control objectives for the multilevel converter. The cost function minimization is used as criteria for choosing the best switching states which would be applied to the converter during the next sampling interval. The feasibility of the model predictive control scheme is verified by the MATLAB simulation results on three- to six-level diode-clamped converters.
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