Predictive Torque and Flux Control of an Induction Machine Fed by a Voltage Source Inverter

Model predictive control strategies have recently emerged as a viable alternative for the control of power electronic converters in a range of applications. In this paper a new model predictive control technique for both the ux and torque of an induction machine is presented. The algorithm selects from the available switching states of the voltage source inverter, the chosen state in each sample period optimizes a cost function which is based on the tracking of the electromagnetic torque and the stator ux together with additional criteria to ensure the proper operation of the machine. The results demonstrate the fast torque-ux response with the required quasi sinusoidal stator machine currents.