Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives

Favato, Andrea; Carlet, Paolo Gherardo; Toso, Francesco; Torchio, Riccardo; Ortombina, Ludovico; Bruschetta, Mattia; Carli, Ruggero; Alotto, Piergiorgio; Bolognani, Silverio

Abstract

This paper proposes a fast and accurate solver for implicit Continuous Set Model Predictive Control for the current control loop of synchronous motor drives with input constraints, allowing for reaching the maximum voltage feasible set. The related control problem requires an iterative solver to find the optimal solution. The real-time certification of the algorithm is of paramount importance to move the technology toward industrial-scale applications. A relevant feature of the proposed solver is that the total number of operations can be computed in the worst-case scenario. Thus, the maximum computational time is known a priori. The solver is deeply illustrated, showing its feasibility for real-time applications in the microseconds range by means of experimental tests. The proposed method outperforms general-purpose algorithms in terms of computation time, while keeping the same accuracy.

Más información

Título según WOS: Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives
Título de la Revista: IEEE ACCESS
Volumen: 10
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2022
Página de inicio: 17430
Página final: 17440
DOI:

10.1109/ACCESS.2022.3150283

Notas: ISI