Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer
This paper deals with the sensorless control of a Permanent Magnet Synchronous Motor (PMSM) to be employed on a turbo-generator to recover the exhaust gas energy of an Internal Combustion Engine (ICE). The main problem with this application is the high rotational speed required by the exhaust gas tu...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Systems Science & Control Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2322067 |
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| author | Silvia Di Girolamo Antonino Sferlazza Emiliano Pipitone Salvatore Caltabellotta Maurizio Cirrincione |
| author_facet | Silvia Di Girolamo Antonino Sferlazza Emiliano Pipitone Salvatore Caltabellotta Maurizio Cirrincione |
| author_sort | Silvia Di Girolamo |
| collection | DOAJ |
| description | This paper deals with the sensorless control of a Permanent Magnet Synchronous Motor (PMSM) to be employed on a turbo-generator to recover the exhaust gas energy of an Internal Combustion Engine (ICE). The main problem with this application is the high rotational speed required by the exhaust gas turbo-generator. Indeed, this implies the difficulty of installing an encoder for speed measurement and control. For this reason, sensorless control is highly recommendable, but, on the other hand, the main sensorless techniques could fail in this peculiar situation because of the high computational effort required compared with the other sensorless applications. Moreover, a good knowledge of the model parameters is necessary. Therefore, the main goal of this paper is to compare two main sensorless techniques for rotational speed measurement, both in the deterministic framework (Model Reference Adaptive System (MRAS) observer) and stochastic framework (Extended Kalman Filter (EKF)), to verify their effectiveness, their computational load, their sensitivity against parameter variation and noisy measurements, and, finally, to present the best solution for the exhaust gas energy recovery from the internal combustion engine. |
| format | Article |
| id | doaj-art-98ced134d08e48c8a4792d062ec353ab |
| institution | OA Journals |
| issn | 2164-2583 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj-art-98ced134d08e48c8a4792d062ec353ab2025-08-20T02:36:39ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832024-12-0112110.1080/21642583.2024.2322067Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observerSilvia Di Girolamo0Antonino Sferlazza1Emiliano Pipitone2Salvatore Caltabellotta3Maurizio Cirrincione4Department of Engineering, University of Palermo, Palermo, ItalyDepartment of Engineering, University of Palermo, Palermo, ItalyDepartment of Engineering, University of Palermo, Palermo, ItalyDepartment of Engineering, University of Palermo, Palermo, ItalySchool of Information Technology, Engineering, Mathematics, and Physics (STEMP), University of the South Pacific (USP), Laucala Campus, Suva, FijiThis paper deals with the sensorless control of a Permanent Magnet Synchronous Motor (PMSM) to be employed on a turbo-generator to recover the exhaust gas energy of an Internal Combustion Engine (ICE). The main problem with this application is the high rotational speed required by the exhaust gas turbo-generator. Indeed, this implies the difficulty of installing an encoder for speed measurement and control. For this reason, sensorless control is highly recommendable, but, on the other hand, the main sensorless techniques could fail in this peculiar situation because of the high computational effort required compared with the other sensorless applications. Moreover, a good knowledge of the model parameters is necessary. Therefore, the main goal of this paper is to compare two main sensorless techniques for rotational speed measurement, both in the deterministic framework (Model Reference Adaptive System (MRAS) observer) and stochastic framework (Extended Kalman Filter (EKF)), to verify their effectiveness, their computational load, their sensitivity against parameter variation and noisy measurements, and, finally, to present the best solution for the exhaust gas energy recovery from the internal combustion engine.https://www.tandfonline.com/doi/10.1080/21642583.2024.2322067Exhaust energy recoveryinternal combustion engineKalman filterMRAS observer |
| spellingShingle | Silvia Di Girolamo Antonino Sferlazza Emiliano Pipitone Salvatore Caltabellotta Maurizio Cirrincione Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer Systems Science & Control Engineering Exhaust energy recovery internal combustion engine Kalman filter MRAS observer |
| title | Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer |
| title_full | Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer |
| title_fullStr | Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer |
| title_full_unstemmed | Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer |
| title_short | Sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine: a comparison between Kalman filter and MRAS observer |
| title_sort | sensorless control of permanent magnet synchronous motor for exhaust energy recovery of internal combustion engine a comparison between kalman filter and mras observer |
| topic | Exhaust energy recovery internal combustion engine Kalman filter MRAS observer |
| url | https://www.tandfonline.com/doi/10.1080/21642583.2024.2322067 |
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