LAPSE:2023.26646
Published Article
LAPSE:2023.26646
Grey Wolf Optimizer-Based Predictive Torque Control for Electric Buses Applications
Ali Djerioui, Azeddine Houari, Mohamed Machmoum, Malek Ghanes
April 3, 2023
Abstract
This paper proposes an improved Predictive Torque Control (PTC) of a PMSM based on the Grey Wolf Optimizer (GWO) for smooth torque operation in Electric Bus applications (EBs). The embedded GWO is used to resolve the torque tracking tasks with minimal oscillations in running at the low speed of PMSM drives. The new PTC algorithm can successfully ensure the smooth time evolution of the torque and the speed. The design methodology is detailed and the provided experimental results show that the proposed PTC-GWO can be implemented in real-time on embedded hardware, offering high effectiveness in both steady and transient states of the PMSM drives, even at low-speed range.
Keywords
electric buses (EBs), grey wolf optimization (GWO), low speed operation, permanent magnet synchronous motor (PMSM), predictive torque control (PTC)
Subject
Suggested Citation
Djerioui A, Houari A, Machmoum M, Ghanes M. Grey Wolf Optimizer-Based Predictive Torque Control for Electric Buses Applications. (2023). LAPSE:2023.26646
Author Affiliations
Djerioui A: IREENA Laboratory, University of Nantes, 44600 Nantes, France; LGE, Laboratoire de Génie Electrique, University of M’sila, M’sila 28000, Algeria [ORCID]
Houari A: IREENA Laboratory, University of Nantes, 44600 Nantes, France [ORCID]
Machmoum M: IREENA Laboratory, University of Nantes, 44600 Nantes, France
Ghanes M: LS2N, Ecole Centrale de Nantes, UMR CNRS 6004, 44321 Nantes, France
Journal Name
Energies
Volume
13
Issue
19
Article Number
E5013
Year
2020
Publication Date
2020-09-24
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13195013, Publication Type: Journal Article
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LAPSE:2023.26646
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https://doi.org/10.3390/en13195013
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