Predictive Torque Control of three phase Axial Flux Permanent Magnet Synchronous Machines

This paper presents a predictive strategy to control torque and flux of an Axial Flux Permanent magnet Machine (AFPM). Unlike conventional Direct Torque Control (DTC) for the permanent magnet machine that only six actives voltage vectors of inverter are used to control torque and flux of machine, in Predictive Torque Control (PTC), zero voltage vector is used to control machine, in addition to six active voltage vectors. So the number of voltage vectors to control AFPM increases that leads to faster dynamic torque response and lower ripple of torque and flux. In predictive torque control presented in this paper, the response of torque and flux, compute for all possible switching states of inverter at every sample time according to discrete time model of machine by minimum calculations, and then the switching state that optimum ripple of torque and flux, will be applied in next discrete-time interval. Simulation results, which confirm the good performance of the proposed predictive torque control, are presented.