Computational efficient model predictive current control for interior permanent magnet synchronous motor drives

The standard model predictive control (MPC) of three-phase motors requires heavy calculation efforts for evaluating all voltage vectors (VV) in addition to the variable switching frequency, large current harmonics, and torque ripples. To deal with these problems, a computational efficient (MPCC) is proposed interior permanent magnet synchronous motor (IPMSM). Initially, avoid protracted enumeration process, reference vector (RVV) directly calculated by using generated maximum per ampere technique (MTPA), which an additional objective. position RVV utilized define three candidate be examined cost function, determines optimal vector. Secondly, duty cycle (ODC) designed minimize error between reducing Furthermore, scheme compared conventional MPCC techniques MATLAB simulation hardware loop (HIL) TMS320F28335 digital signal processor (DSP) experiments. A comprehensive analysis results different operating conditions shows effectiveness robustness method.