Sensorless finite-control set model predictive control for IPMSM drives

This paper investigates the feasibility of a sensorless field oriented control (FOC) combined with a finite control set model predictive current control (FCS-MPC) for an interior permanent magnet synchronous motor (IPMSM). The use of a FCS-MPC makes the implementation of most of the existing sensorl...

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Main Authors: Rovere, Luca, Formentini, Andrea, Gaeta, Alberto, Zanchetta, Pericle, Marchesoni, Mario
Format: Article
Published: Institute of Electrical and Electronics Engineers 2016
Online Access:https://eprints.nottingham.ac.uk/36304/
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author Rovere, Luca
Formentini, Andrea
Gaeta, Alberto
Zanchetta, Pericle
Marchesoni, Mario
author_facet Rovere, Luca
Formentini, Andrea
Gaeta, Alberto
Zanchetta, Pericle
Marchesoni, Mario
author_sort Rovere, Luca
building Nottingham Research Data Repository
collection Online Access
description This paper investigates the feasibility of a sensorless field oriented control (FOC) combined with a finite control set model predictive current control (FCS-MPC) for an interior permanent magnet synchronous motor (IPMSM). The use of a FCS-MPC makes the implementation of most of the existing sensorless techniques difficult due to the lack of a modulator. The proposed sensorless algorithm exploits the saliency of the motor and the intrinsic higher current ripple of the FCS-MPC to extract position and speed information using a model-based approach. This method does not require the injection of additional voltage vectors or the periodic interruption of the control algorithm and consequently it has no impact on the performance of the current control. The proposed algorithm has been tested in simulation and validated on an experimental set-up, showing promising results.
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spelling nottingham-363042020-05-04T18:04:44Z https://eprints.nottingham.ac.uk/36304/ Sensorless finite-control set model predictive control for IPMSM drives Rovere, Luca Formentini, Andrea Gaeta, Alberto Zanchetta, Pericle Marchesoni, Mario This paper investigates the feasibility of a sensorless field oriented control (FOC) combined with a finite control set model predictive current control (FCS-MPC) for an interior permanent magnet synchronous motor (IPMSM). The use of a FCS-MPC makes the implementation of most of the existing sensorless techniques difficult due to the lack of a modulator. The proposed sensorless algorithm exploits the saliency of the motor and the intrinsic higher current ripple of the FCS-MPC to extract position and speed information using a model-based approach. This method does not require the injection of additional voltage vectors or the periodic interruption of the control algorithm and consequently it has no impact on the performance of the current control. The proposed algorithm has been tested in simulation and validated on an experimental set-up, showing promising results. Institute of Electrical and Electronics Engineers 2016-09-01 Article PeerReviewed Rovere, Luca, Formentini, Andrea, Gaeta, Alberto, Zanchetta, Pericle and Marchesoni, Mario (2016) Sensorless finite-control set model predictive control for IPMSM drives. IEEE Transactions on Industrial Electronics, 63 (9). pp. 5921-5931. ISSN 0278-0046 http://ieeexplore.ieee.org/document/7487005/?arnumber=7487005 doi:10.1109/TIE.2016.2578281 doi:10.1109/TIE.2016.2578281
spellingShingle Rovere, Luca
Formentini, Andrea
Gaeta, Alberto
Zanchetta, Pericle
Marchesoni, Mario
Sensorless finite-control set model predictive control for IPMSM drives
title Sensorless finite-control set model predictive control for IPMSM drives
title_full Sensorless finite-control set model predictive control for IPMSM drives
title_fullStr Sensorless finite-control set model predictive control for IPMSM drives
title_full_unstemmed Sensorless finite-control set model predictive control for IPMSM drives
title_short Sensorless finite-control set model predictive control for IPMSM drives
title_sort sensorless finite-control set model predictive control for ipmsm drives
url https://eprints.nottingham.ac.uk/36304/
https://eprints.nottingham.ac.uk/36304/
https://eprints.nottingham.ac.uk/36304/