Velocity Form MPC for Current Control in Synchronous Reluctance Motors

In this brief, the use of velocity form model predictive control (MPC) for the control of currents in synchronous reluctance motors is studied. Stability is guaranteed by means of a terminal equality constraint, and an artificial reference is introduced in the optimization problem to enlarge the feasibility region and to improve the performances of the closed loop. The velocity formulation of the MPC guarantees zero tracking error in the presence of model uncertainties. The velocity form MPC algorithm is compared, in simulation, with a standard control strategy based on decoupling and proportional-integral (PI) controllers and with a classic MPC, also in the presence of uncertainties in the inductance values of the motor model. The velocity form MPC shows better performances in the presence of model uncertainties and does not require the knowledge of the relationship between the inductances and the currents for its implementation.

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2025-06-03
DOI
https://doi.org/10.1109/tcst.2025.3573665
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.73
Controls
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article

Velocity Form MPC for Current Control in Synchronous Reluctance Motors

Alberto Rubino, Lalo Magni, Irene Schimperna
1 citations
IEEE Transactions on Control Systems Technology
Sensorless Control of Electric Motors
0.73
article

Velocity Form MPC for Current Control in Synchronous Reluctance Motors

Alberto Rubino, Lalo Magni, Irene Schimperna
article en
1 citations

Abstract

In this brief, the use of velocity form model predictive control (MPC) for the control of currents in synchronous reluctance motors is studied. Stability is guaranteed by means of a terminal equality constraint, and an artificial reference is introduced in the optimization problem to enlarge the feasibility region and to improve the performances of the closed loop. The velocity formulation of the MPC guarantees zero tracking error in the presence of model uncertainties. The velocity form MPC algorithm is compared, in simulation, with a standard control strategy based on decoupling and proportional-integral (PI) controllers and with a classic MPC, also in the presence of uncertainties in the inductance values of the motor model. The velocity form MPC shows better performances in the presence of model uncertainties and does not require the knowledge of the relationship between the inductances and the currents for its implementation.

IEEE Transactions on Control Systems TechnologyVol. 33(6)
University of Pavia (IT), Superconducting and other Innovative Materials and Devices Institute (IT)
Affordable and clean energy
Openalex Percentile: Top 28%
Sensorless Control of Electric Motors
0.73
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