Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine

This research work addresses the model predictive control (MPC) problem. In general, the MPC approach is a high computational burden algorithm. On the other hand, MPC can offer a lot of other advantages like dealing with nonlinearities in the system, introducing constraints,..etc. Therefore, the main work in this paper is to investigate the three-vector MPC which offers an improved total harmonic distortion (THD) as well as a lower torque ripple, while maintaining a reasonable computational burden. On the other hand, in order to overcome the dependency of the MPC on the model parameters an inductance observer is introduced to observe the disturbances on the inductance during the operation.