Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications
Climate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold. It is important to emphasise that simplicity does not nece...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/9/10/217 |
| _version_ | 1797514114136801280 |
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| author | Ismaele Diego De Martin Dario Pasqualotto Fabio Tinazzi Mauro Zigliotto |
| author_facet | Ismaele Diego De Martin Dario Pasqualotto Fabio Tinazzi Mauro Zigliotto |
| author_sort | Ismaele Diego De Martin |
| collection | DOAJ |
| description | Climate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold. It is important to emphasise that simplicity does not necessarily lie in the control algorithm itself, but in the absence of complex manual calibration. These characteristics are met by synchronous reluctance motors provided that the calibration of the current loops is made autonomous. The goal of the present research was the development of a current control algorithm for reluctance synchronous motors that does not require an explicit model of the motor, and that self-calibrates in the first moments of operation without the supervision of a human expert. The results, both simulated and experimental, confirm this ability. The proposed algorithm adapts itself to different motor types, without the need for any initial calibration. The proposed technique is fully within the paradigm of smarter electrical drives, which, similarly to today’s smartphones, offer advanced performance by making any technological complexity transparent to the user. |
| first_indexed | 2024-03-10T06:27:03Z |
| format | Article |
| id | doaj.art-89d6de1be2ea444084ff88380f95f65f |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-10T06:27:03Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-89d6de1be2ea444084ff88380f95f65f2023-11-22T18:54:13ZengMDPI AGMachines2075-17022021-09-0191021710.3390/machines9100217Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump ApplicationsIsmaele Diego De Martin0Dario Pasqualotto1Fabio Tinazzi2Mauro Zigliotto3Department of Management and Engineering, University of Padova, Stradella S. Nicola 3, 36100 Vicenza, ItalyDepartment of Management and Engineering, University of Padova, Stradella S. Nicola 3, 36100 Vicenza, ItalyDepartment of Management and Engineering, University of Padova, Stradella S. Nicola 3, 36100 Vicenza, ItalyDepartment of Management and Engineering, University of Padova, Stradella S. Nicola 3, 36100 Vicenza, ItalyClimate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold. It is important to emphasise that simplicity does not necessarily lie in the control algorithm itself, but in the absence of complex manual calibration. These characteristics are met by synchronous reluctance motors provided that the calibration of the current loops is made autonomous. The goal of the present research was the development of a current control algorithm for reluctance synchronous motors that does not require an explicit model of the motor, and that self-calibrates in the first moments of operation without the supervision of a human expert. The results, both simulated and experimental, confirm this ability. The proposed algorithm adapts itself to different motor types, without the need for any initial calibration. The proposed technique is fully within the paradigm of smarter electrical drives, which, similarly to today’s smartphones, offer advanced performance by making any technological complexity transparent to the user.https://www.mdpi.com/2075-1702/9/10/217model-freepredictive controlsynchronous reluctance motorpump |
| spellingShingle | Ismaele Diego De Martin Dario Pasqualotto Fabio Tinazzi Mauro Zigliotto Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications Machines model-free predictive control synchronous reluctance motor pump |
| title | Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications |
| title_full | Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications |
| title_fullStr | Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications |
| title_full_unstemmed | Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications |
| title_short | Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications |
| title_sort | model free predictive current control of synchronous reluctance motor drives for pump applications |
| topic | model-free predictive control synchronous reluctance motor pump |
| url | https://www.mdpi.com/2075-1702/9/10/217 |
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