Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller

Habib Benbouhenni

doi:doi:10.11648/j.ijiis.20190805.11

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Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller

Habib Benbouhenni

Published in International Journal of Intelligent Information Systems (Volume 8, Issue 5)

Received: 23 September 2019 Accepted: 18 October 2019 Published: 26 November 2019

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Abstract

In the scope of this work, a new structure of the direct torque control (DTC) technique scheme of permanent magnet synchronous motors (PMSMs) is proposed using a seven-level neutral point clamped (NPC) inverter and artificial neural networks (ANNs) controllers. This intelligent strategy was used to replace, on the one hand the integral proportional (PI) speed controller, on the other hand and the traditional switching table in order to reduce total harmonic distortion (THD) of voltage/current, stator flux ripple and electromagnetic torque ripples. The modeling and simulation of the proposed control scheme were carried out in Matlab/Simulink environment. The simulation results show that the proposed strategy scheme reduced harmonic distortion of stator voltage/current, stator flux and electromagnetic torque ripples compared to traditional DTC control scheme, DTC control scheme with space vector pulse width modulation (SVPWM) and three-level DTC control scheme. It was found that the stator current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate to 11.77%.

Published in	International Journal of Intelligent Information Systems (Volume 8, Issue 5)
DOI	10.11648/j.ijiis.20190805.11
Page(s)	85-96
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

PMSMs, DTC, NPC, NNs, SVPWM, PI, THD

References

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[5]	F. Benchabane, A. Titaouine, O. Bennis, K. Yahia, D. Taibi, A. Guettaf, «Sensorless direct torque control for salient-pole PMSM based on extended Kalman filter fed by AC/DC/AC converter,» Front. Energ., Vol. 6, No. 3, pp. 247-254, 2012. https://doi.org/10.1007/s11708-012-0190-1.
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[7]	Q. Song, Y. Li, C. Jia, «A novel direct torque control method based on asymmetric boundary layer sliding mode control for PMSM,» Energies, Vol. 11, pp. 1-15, 2018.
[8]	O. Ouledali, A. Meroufel, P. Wira, S. Bentouba, «Torque and stator flux ripples minimization for direct torque control of PMSM by using space vector modulation,» Majlesi Journal of Electrical Engineering, Vol. 12, No. 3, pp. 55-61, 2018.
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[12]	H. Benbouhenni, «Four-level DTC with six sectors based on neural network of induction motor,» Journal Acta Electrotehnica, Vol. 58, No. 4, pp. 293-300, 2018.
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APA Style

Habib Benbouhenni. (2019). Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. International Journal of Intelligent Information Systems, 8(5), 85-96. https://doi.org/10.11648/j.ijiis.20190805.11

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ACS Style

Habib Benbouhenni. Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. Int. J. Intell. Inf. Syst. 2019, 8(5), 85-96. doi: 10.11648/j.ijiis.20190805.11

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AMA Style

Habib Benbouhenni. Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. Int J Intell Inf Syst. 2019;8(5):85-96. doi: 10.11648/j.ijiis.20190805.11

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@article{10.11648/j.ijiis.20190805.11,
  author = {Habib Benbouhenni},
  title = {Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller},
  journal = {International Journal of Intelligent Information Systems},
  volume = {8},
  number = {5},
  pages = {85-96},
  doi = {10.11648/j.ijiis.20190805.11},
  url = {https://doi.org/10.11648/j.ijiis.20190805.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20190805.11},
  abstract = {In the scope of this work, a new structure of the direct torque control (DTC) technique scheme of permanent magnet synchronous motors (PMSMs) is proposed using a seven-level neutral point clamped (NPC) inverter and artificial neural networks (ANNs) controllers. This intelligent strategy was used to replace, on the one hand the integral proportional (PI) speed controller, on the other hand and the traditional switching table in order to reduce total harmonic distortion (THD) of voltage/current, stator flux ripple and electromagnetic torque ripples. The modeling and simulation of the proposed control scheme were carried out in Matlab/Simulink environment. The simulation results show that the proposed strategy scheme reduced harmonic distortion of stator voltage/current, stator flux and electromagnetic torque ripples compared to traditional DTC control scheme, DTC control scheme with space vector pulse width modulation (SVPWM) and three-level DTC control scheme. It was found that the stator current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate to 11.77%.},
 year = {2019}
}

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TY  - JOUR
T1  - Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller
AU  - Habib Benbouhenni
Y1  - 2019/11/26
PY  - 2019
N1  - https://doi.org/10.11648/j.ijiis.20190805.11
DO  - 10.11648/j.ijiis.20190805.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 85
EP  - 96
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20190805.11
AB  - In the scope of this work, a new structure of the direct torque control (DTC) technique scheme of permanent magnet synchronous motors (PMSMs) is proposed using a seven-level neutral point clamped (NPC) inverter and artificial neural networks (ANNs) controllers. This intelligent strategy was used to replace, on the one hand the integral proportional (PI) speed controller, on the other hand and the traditional switching table in order to reduce total harmonic distortion (THD) of voltage/current, stator flux ripple and electromagnetic torque ripples. The modeling and simulation of the proposed control scheme were carried out in Matlab/Simulink environment. The simulation results show that the proposed strategy scheme reduced harmonic distortion of stator voltage/current, stator flux and electromagnetic torque ripples compared to traditional DTC control scheme, DTC control scheme with space vector pulse width modulation (SVPWM) and three-level DTC control scheme. It was found that the stator current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate to 11.77%.
VL  - 8
IS  - 5
ER  -

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Author Information

Habib Benbouhenni

Electrical Engineering Department, National Polytechnique School of Oran Maurice Audin, Oran, Algeria

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Plain Text BibTeX RIS

APA Style

Habib Benbouhenni. (2019). Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. International Journal of Intelligent Information Systems, 8(5), 85-96. https://doi.org/10.11648/j.ijiis.20190805.11

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ACS Style

Habib Benbouhenni. Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. Int. J. Intell. Inf. Syst. 2019, 8(5), 85-96. doi: 10.11648/j.ijiis.20190805.11

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AMA Style

Habib Benbouhenni. Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller. Int J Intell Inf Syst. 2019;8(5):85-96. doi: 10.11648/j.ijiis.20190805.11

Copy | Download

@article{10.11648/j.ijiis.20190805.11,
  author = {Habib Benbouhenni},
  title = {Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller},
  journal = {International Journal of Intelligent Information Systems},
  volume = {8},
  number = {5},
  pages = {85-96},
  doi = {10.11648/j.ijiis.20190805.11},
  url = {https://doi.org/10.11648/j.ijiis.20190805.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20190805.11},
  abstract = {In the scope of this work, a new structure of the direct torque control (DTC) technique scheme of permanent magnet synchronous motors (PMSMs) is proposed using a seven-level neutral point clamped (NPC) inverter and artificial neural networks (ANNs) controllers. This intelligent strategy was used to replace, on the one hand the integral proportional (PI) speed controller, on the other hand and the traditional switching table in order to reduce total harmonic distortion (THD) of voltage/current, stator flux ripple and electromagnetic torque ripples. The modeling and simulation of the proposed control scheme were carried out in Matlab/Simulink environment. The simulation results show that the proposed strategy scheme reduced harmonic distortion of stator voltage/current, stator flux and electromagnetic torque ripples compared to traditional DTC control scheme, DTC control scheme with space vector pulse width modulation (SVPWM) and three-level DTC control scheme. It was found that the stator current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate to 11.77%.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Seven-level NPC Inverter-based Neuronal Direct Torque Control of the PMSM Drives with Regulation Speed Using Neural PI Controller
AU  - Habib Benbouhenni
Y1  - 2019/11/26
PY  - 2019
N1  - https://doi.org/10.11648/j.ijiis.20190805.11
DO  - 10.11648/j.ijiis.20190805.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 85
EP  - 96
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20190805.11
AB  - In the scope of this work, a new structure of the direct torque control (DTC) technique scheme of permanent magnet synchronous motors (PMSMs) is proposed using a seven-level neutral point clamped (NPC) inverter and artificial neural networks (ANNs) controllers. This intelligent strategy was used to replace, on the one hand the integral proportional (PI) speed controller, on the other hand and the traditional switching table in order to reduce total harmonic distortion (THD) of voltage/current, stator flux ripple and electromagnetic torque ripples. The modeling and simulation of the proposed control scheme were carried out in Matlab/Simulink environment. The simulation results show that the proposed strategy scheme reduced harmonic distortion of stator voltage/current, stator flux and electromagnetic torque ripples compared to traditional DTC control scheme, DTC control scheme with space vector pulse width modulation (SVPWM) and three-level DTC control scheme. It was found that the stator current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate to 11.77%.
VL  - 8
IS  - 5
ER  -

Copy | Download