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Sustainability
Volume 13
Issue 17
10.3390/su13179502
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Article

Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

by
Songklod Sriprang
1,2,
Nitchamon Poonnoy
2,*,
Damien Guilbert
1,
Babak Nahid-Mobarakeh
3,
Noureddine Takorabet
1,
Nicu Bizon
4 and
Phatiphat Thounthong
2,*
1
Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, F-54000 Nancy, France
2
Renewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
3
Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
4
Faculty of Electronics, Communications and Computers, University of Pitesti, 110040 Pitesti, Romania
*
Authors to whom correspondence should be addressed.
Sustainability 2021, 13(17), 9502; https://doi.org/10.3390/su13179502
Submission received: 29 June 2021 / Revised: 17 August 2021 / Accepted: 18 August 2021 / Published: 24 August 2021
(This article belongs to the Special Issue Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II)
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Abstract

This paper presents the utilization of differential flatness techniques from nonlinear control theory to permanent magnet assisted (PMa) synchronous reluctance motor (SynRM). The significant advantage of the proposed control approach is the potentiality to establish the behavior of the state variable system during the steady-state and transients operations as well. The mathematical models of PMa-SynRM are initially proved by the nonlinear case to show the flatness property. Then, the intelligent proportional-integral (iPI) is utilized as a control law to deal with some inevitable modeling errors and uncertainties for the torque and speed of the motor. Finally, a MicroLab Box dSPACE has been employed to implement the proposed control scheme. A small-scale test bench 1-KW relying on the PMa-SynRM has been designed and developed in the laboratory to approve the proposed control algorithm. The experimental results reflect that the proposed control effectively performs high performance during dynamic operating conditions for the inner torque loop control and outer speed loop control of the motor drive compared to the traditional PI control.
Keywords: electric vehicle; inverter; permanent magnet assisted synchronous reluctance motor; differential flatness-based control; parameter observers; traction drive electric vehicle; inverter; permanent magnet assisted synchronous reluctance motor; differential flatness-based control; parameter observers; traction drive

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MDPI and ACS Style

Sriprang, S.; Poonnoy, N.; Guilbert, D.; Nahid-Mobarakeh, B.; Takorabet, N.; Bizon, N.; Thounthong, P. Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications. Sustainability 2021, 13, 9502. https://doi.org/10.3390/su13179502

AMA Style

Sriprang S, Poonnoy N, Guilbert D, Nahid-Mobarakeh B, Takorabet N, Bizon N, Thounthong P. Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications. Sustainability. 2021; 13(17):9502. https://doi.org/10.3390/su13179502

Chicago/Turabian Style

Sriprang, Songklod, Nitchamon Poonnoy, Damien Guilbert, Babak Nahid-Mobarakeh, Noureddine Takorabet, Nicu Bizon, and Phatiphat Thounthong. 2021. "Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications" Sustainability 13, no. 17: 9502. https://doi.org/10.3390/su13179502

APA Style

Sriprang, S., Poonnoy, N., Guilbert, D., Nahid-Mobarakeh, B., Takorabet, N., Bizon, N., & Thounthong, P. (2021). Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications. Sustainability, 13(17), 9502. https://doi.org/10.3390/su13179502

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