Electric motor control may be challenging due to nonlinearity, cross-coupling and current and voltage constraints. Multivariable action may enhance the effectiveness of control on electric motors. This work presents the real-time implementation of a Model Predictive Control (MPC) strategy for current regulation in a low-power synchronous electric motor, on a low-cost microcontroller platform. The experimental setup employs a back-to-back configuration with a DC motor operating as a generator, enabling comparative analysis of the impact of different cost-function formulations on the closed-loop dynamics. Both transient and steady-state capabilities have been investigated through suitable key performance indexes.
Embedded Implementation and Characterization of a Model Predictive Control in Velocity Form for Synchronous Motor Currents
De Boni, Gabriele;Mantione, Lorenzo;Frosini, Lucia
2026-01-01
Abstract
Electric motor control may be challenging due to nonlinearity, cross-coupling and current and voltage constraints. Multivariable action may enhance the effectiveness of control on electric motors. This work presents the real-time implementation of a Model Predictive Control (MPC) strategy for current regulation in a low-power synchronous electric motor, on a low-cost microcontroller platform. The experimental setup employs a back-to-back configuration with a DC motor operating as a generator, enabling comparative analysis of the impact of different cost-function formulations on the closed-loop dynamics. Both transient and steady-state capabilities have been investigated through suitable key performance indexes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
