An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF
This study presents an enhanced deadbeat predictive control (DPC) method for permanent magnet synchronous motor (PMSM) drive system. By taking the model parameter mismatch and harmonics induced by non-sinusoidal back electromotive force (EMF) into consideration, an improved predictive error model is...
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IEEE
2024-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/10374340/ |
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author | Lei Guo Guangxu Zhou Ningran Song Mengmei Zhu Yongyun Mu |
author_facet | Lei Guo Guangxu Zhou Ningran Song Mengmei Zhu Yongyun Mu |
author_sort | Lei Guo |
collection | DOAJ |
description | This study presents an enhanced deadbeat predictive control (DPC) method for permanent magnet synchronous motor (PMSM) drive system. By taking the model parameter mismatch and harmonics induced by non-sinusoidal back electromotive force (EMF) into consideration, an improved predictive error model is presented. Then, a parallel-observer combining super-twisting sliding model observer (STSMO) and adaptive line neuron (ADALINE) is proposed to estimate the fundamental and sixth harmonic components of predictive error model. Furthermore, an enhanced parallel-observer based DPC method is proposed to design rotor current controller. The advantage is that the predictive error under non-sinusoidal back EMF is reduced and the sixth harmonic in current is suppressed obviously. Better predicting and tracking performance can be guaranteed compared with conventional DPC method. Finally, numerous simulation and experimental results are given to validate the effectiveness and robustness of proposed method. It can be seen from experiment results that the tracking offset is tiny and the sixth harmonic ratio of predictive error is reduced to 0.06%. It indicates that the harmonic suppression performance and suitability of proposed method are satisfactory. |
first_indexed | 2024-04-24T12:01:27Z |
format | Article |
id | doaj.art-fcc88e51ffe74b91af018693d680d469 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-24T12:01:27Z |
publishDate | 2024-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-fcc88e51ffe74b91af018693d680d4692024-04-08T23:00:55ZengIEEEIEEE Access2169-35362024-01-0112476074761810.1109/ACCESS.2023.334759010374340An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMFLei Guo0https://orcid.org/0000-0002-5539-3759Guangxu Zhou1https://orcid.org/0000-0002-9717-7720Ningran Song2Mengmei Zhu3Yongyun Mu4Shandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaThis study presents an enhanced deadbeat predictive control (DPC) method for permanent magnet synchronous motor (PMSM) drive system. By taking the model parameter mismatch and harmonics induced by non-sinusoidal back electromotive force (EMF) into consideration, an improved predictive error model is presented. Then, a parallel-observer combining super-twisting sliding model observer (STSMO) and adaptive line neuron (ADALINE) is proposed to estimate the fundamental and sixth harmonic components of predictive error model. Furthermore, an enhanced parallel-observer based DPC method is proposed to design rotor current controller. The advantage is that the predictive error under non-sinusoidal back EMF is reduced and the sixth harmonic in current is suppressed obviously. Better predicting and tracking performance can be guaranteed compared with conventional DPC method. Finally, numerous simulation and experimental results are given to validate the effectiveness and robustness of proposed method. It can be seen from experiment results that the tracking offset is tiny and the sixth harmonic ratio of predictive error is reduced to 0.06%. It indicates that the harmonic suppression performance and suitability of proposed method are satisfactory.https://ieeexplore.ieee.org/document/10374340/Permanent magnet synchronous motordeadbeat predictive controladaptive line neuronsuper-twisting sliding model observernon-sinusoidal back EMF |
spellingShingle | Lei Guo Guangxu Zhou Ningran Song Mengmei Zhu Yongyun Mu An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF IEEE Access Permanent magnet synchronous motor deadbeat predictive control adaptive line neuron super-twisting sliding model observer non-sinusoidal back EMF |
title | An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF |
title_full | An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF |
title_fullStr | An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF |
title_full_unstemmed | An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF |
title_short | An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF |
title_sort | enhanced parallel observer based deadbeat predictive control method for pmsm with non sinusoidal back emf |
topic | Permanent magnet synchronous motor deadbeat predictive control adaptive line neuron super-twisting sliding model observer non-sinusoidal back EMF |
url | https://ieeexplore.ieee.org/document/10374340/ |
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