Abstract

Model Predictive Control (MPC) in the field of power electronics has recently gained a lot of interest in the research community. Even though the computations are very complex in MPC algorithm, the availability of powerful processors has helped this approach to acquire a notable place in the area of control. They can take into account the nonlinearities and constraints very precisely. Having these advantages, they are found to be very attractive for controlling power converters and drives. This paper presents the review of growth and applications of MPC applied to power converters and drives. Some of the key elements like prediction model and its discretization, cost function, weighing factor and optimization algorithm are highlighted in this paper.

Keywords: Model predictive control, power converters, drives, prediction model, cost function, weighing factor.