Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter
The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on the machine equations, allowing the reuse of the standard control system design fo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/24/8222 |
| _version_ | 1797505154178613248 |
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| author | Yassine Benômar Julien Croonen Björn Verrelst Joeri Van Mierlo Omar Hegazy |
| author_facet | Yassine Benômar Julien Croonen Björn Verrelst Joeri Van Mierlo Omar Hegazy |
| author_sort | Yassine Benômar |
| collection | DOAJ |
| description | The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on the machine equations, allowing the reuse of the standard control system design for conventional synchronous and asynchronous machines: a cascade control system with an inner current control- and outer speed control loop. The assumptions and simplifications made on the machine model allow for a simple, model-based approach to set the controller gains in a brushless doubly fed machine drive system. The cascade control scheme is combined with an Unscented Kalman Filter as a state observer, capable of estimating the load torque and losses. The performance of the proposed control system design is checked in simulation and tested in real-time on a low power BDFRM prototype. |
| first_indexed | 2024-03-10T04:14:33Z |
| format | Article |
| id | doaj.art-e8573ca299424cf0bdd6c7bbbdf17111 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:33Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e8573ca299424cf0bdd6c7bbbdf171112023-11-23T08:04:13ZengMDPI AGEnergies1996-10732021-12-011424822210.3390/en14248222Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman FilterYassine Benômar0Julien Croonen1Björn Verrelst2Joeri Van Mierlo3Omar Hegazy4Mobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology (ETEC), Faculty of Engineering, Vrije Universiteit Brussel (VUB), 1050 Brussel, BelgiumMobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology (ETEC), Faculty of Engineering, Vrije Universiteit Brussel (VUB), 1050 Brussel, BelgiumMECH Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, BelgiumMobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology (ETEC), Faculty of Engineering, Vrije Universiteit Brussel (VUB), 1050 Brussel, BelgiumMobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology (ETEC), Faculty of Engineering, Vrije Universiteit Brussel (VUB), 1050 Brussel, BelgiumThe Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on the machine equations, allowing the reuse of the standard control system design for conventional synchronous and asynchronous machines: a cascade control system with an inner current control- and outer speed control loop. The assumptions and simplifications made on the machine model allow for a simple, model-based approach to set the controller gains in a brushless doubly fed machine drive system. The cascade control scheme is combined with an Unscented Kalman Filter as a state observer, capable of estimating the load torque and losses. The performance of the proposed control system design is checked in simulation and tested in real-time on a low power BDFRM prototype.https://www.mdpi.com/1996-1073/14/24/8222electrical drivescontrol system designmodel-based controlUnscented Kalman Filterelectrical machinesreluctance drives |
| spellingShingle | Yassine Benômar Julien Croonen Björn Verrelst Joeri Van Mierlo Omar Hegazy Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter Energies electrical drives control system design model-based control Unscented Kalman Filter electrical machines reluctance drives |
| title | Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter |
| title_full | Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter |
| title_fullStr | Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter |
| title_full_unstemmed | Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter |
| title_short | Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter |
| title_sort | model based control system design of brushless doubly fed reluctance machines using an unscented kalman filter |
| topic | electrical drives control system design model-based control Unscented Kalman Filter electrical machines reluctance drives |
| url | https://www.mdpi.com/1996-1073/14/24/8222 |
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