Special Session on Design and Implementation Issues of Model Predictive Control for Electrical Machines

The performance of electrical machineshighly depends on the control properties (dynamics, accuracy,robustness, switching states selection, and optimization). Good dynamics of the response must be followed byhigh accuracy of the references tracking and minimization of the switching losses. Those are problematic issues in caseof linear controllers, when their limitations are considered. Model Predictive Control (MPC) is considered as one alternative toclassical controllers for electric machines.MPCis a conceptually different control technique that offers a high flexibility to control different electrical machinesand to manage several control objectives, without adding significant complexity to the system. MPC has demonstrated to be easier to implement and understand than classical speed control techniques such as FOC and DTC providing a control of AC machines. MPC can dramatically change the way electrical energy is controlled using power semiconductors, and it offers challenging opportunities for research in electrical drives.