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Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives
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  • Riccardo Torchio ,
  • Andrea Favato ,
  • Paolo Gherardo Carlet ,
  • Francesco Toso ,
  • Ruggero Carli ,
  • Mattia Bruschetta ,
  • Silverio Bolognani ,
  • Jose Rodriguez ,
  • Ludovico Ortombina
Riccardo Torchio
University of Padova, University of Padova, University of Padova

Corresponding Author:[email protected]

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Andrea Favato
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Paolo Gherardo Carlet
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Francesco Toso
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Ruggero Carli
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Mattia Bruschetta
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Silverio Bolognani
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Jose Rodriguez
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Ludovico Ortombina
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Abstract

This paper proposes an effective 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 quadratic programming 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 by the proposed solver. 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. Promising results are obtained with respect to well known general purpose solvers.
2022Published in IEEE Access volume 10 on pages 17430-17440. 10.1109/ACCESS.2022.3150283