Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101951
Title: An improved indirect instantaneous torque control strategy of switched reluctance motor drives for light electric vehicles
Authors: Hamouda, M.
Menaem, A. A.
Rezk, H.
Ibrahim, M. N.
Számel, L.
Issue Date: 2020
Publisher: Elsevier Ltd
Citation: An improved indirect instantaneous torque control strategy of switched reluctance motor drives for light electric vehicles / M. Hamouda, A. A. Menaem, H. Rezk, et al. — DOI 10.1016/j.egyr.2020.11.142 // Energy Reports. — 2020. — Vol. 6. — P. 709-715.
Abstract: The switched reluctance motors (SRMs) are powerful alternatives for electric vehicles (EVs). However, the high torque ripple is the main obstacle for their acceptance in high-performance applications. This paper introduces an improved indirect instantaneous torque control (IITC) strategy of SRMs for EVs. It aims to achieve the vehicle requirements including maximum torque per ampere (MTPA), minimum torque ripple, high efficiency, and extended speed range. First, a simple analytical formulation that determines the most efficient turn-on angle for torque production is developed. Second, A modified torque sharing function (TSF) is introduced to compensate for torque tracking errors. To accurately represent the SRM, its magnetic characteristics are calculated using finite element method (FEM). They are employed to build machine model and implement the required transformations. Finally, the particle swarm optimization (PSO) algorithm is adopted to determine the best control parameters for the conventional IITC. This is done basically for comparison and verification purposes. The results show the feasibility and effectiveness of the proposed control over extended speed range. © 2020 The Author(s)
Keywords: DIRECT INSTANTANEOUS TORQUE CONTROL
MTPA
OPTIMIZATION
SWITCHED RELUCTANCE MOTOR
SWITCHING ANGLES
TSF
ELECTRIC DRIVES
ELECTRIC MACHINE CONTROL
LIGHT ELECTRIC VEHICLES
PARTICLE SWARM OPTIMIZATION (PSO)
TORQUE
TORQUE CONTROL
TRACTION MOTORS
HIGH PERFORMANCE APPLICATIONS
INSTANTANEOUS TORQUE CONTROL
MAGNETIC CHARACTERISTIC
MAXIMUM TORQUE PER AMPERE (MTPA)
PARTICLE SWARM OPTIMIZATION ALGORITHM
SWITCHED RELUCTANCE MOTOR
SWITCHED RELUCTANCE MOTOR DRIVES
TORQUE SHARING FUNCTION
RELUCTANCE MOTORS
URI: http://hdl.handle.net/10995/101951
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85098875252
PURE ID: 20452434
2d9c8d45-db18-40c8-bc07-3bef2193ac6f
ISSN: 23524847
DOI: 10.1016/j.egyr.2020.11.142
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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