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http://elar.urfu.ru/handle/10995/101951
Название: | An improved indirect instantaneous torque control strategy of switched reluctance motor drives for light electric vehicles |
Авторы: | Hamouda, M. Menaem, A. A. Rezk, H. Ibrahim, M. N. Számel, L. |
Дата публикации: | 2020 |
Издатель: | Elsevier Ltd |
Библиографическое описание: | 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. |
Аннотация: | 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) |
Ключевые слова: | 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://elar.urfu.ru/handle/10995/101951 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85098875252 |
Идентификатор WOS: | 000604392100099 |
Идентификатор PURE: | 2d9c8d45-db18-40c8-bc07-3bef2193ac6f 20452434 |
ISSN: | 23524847 |
DOI: | 10.1016/j.egyr.2020.11.142 |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85098875252.pdf | 933,73 kB | Adobe PDF | Просмотреть/Открыть |
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