SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH

This paper investigates the application of the model predictive control
(MPC) approach to control the speed of a permanent magnet synchronous
motor (PMSM) drive system. The MPC is used to calculate the optimal
control actions including system constraints. To alleviate computational
effort and to reduce numerical problems, particularly in large prediction
horizon, an exponentially weighted functional model predictive control
(FMPC) is employed. In order to validate the effectiveness of the proposed
FMPC scheme, the performance of the proposed controller is compared with
a classical PI controller through simulation studies. Obtained results show
that accurate tracking performance of the PMSM has been achieved.