An improved indirect instantaneous torque control strategy of switched reluctance motor drives for light electric vehicles
| Autor: | Mahmoud Hamouda, László Számel, Hegazy Rezk, Mohamed Nabil Fathy Ibrahim, Amir Abdel Menaem |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
INSTANTANEOUS TORQUE CONTROL
Optimization Technology and Engineering Computer science Direct instantaneous torque control Ripple SWITCHING ANGLES 02 engineering and technology DIRECT INSTANTANEOUS TORQUE CONTROL SWITCHED RELUCTANCE MOTOR Control theory EXCITATION RIPPLE ELECTRIC DRIVES 0202 electrical engineering electronic engineering information engineering Range (statistics) MTPA Torque Switched reluctance motor Torque ripple TSF OPTIMIZATION Ampere HIGH PERFORMANCE APPLICATIONS MAGNETIC CHARACTERISTIC MAXIMUM TORQUE PER AMPERE (MTPA) Hardware_MEMORYSTRUCTURES LIGHT ELECTRIC VEHICLES 020208 electrical & electronic engineering Switching angles RELUCTANCE MOTORS Particle swarm optimization 020206 networking & telecommunications TORQUE SHARING FUNCTION Finite element method General Energy TORQUE CONTROL SWITCHED RELUCTANCE MOTOR DRIVES lcsh:Electrical engineering. Electronics. Nuclear engineering PARTICLE SWARM OPTIMIZATION (PSO) PARTICLE SWARM OPTIMIZATION ALGORITHM ELECTRIC MACHINE CONTROL TORQUE lcsh:TK1-9971 TRACTION MOTORS |
| Zdroj: | Energy Reports, Vol 6, Iss, Pp 709-715 (2020) Energy Rep. Energy Reports ENERGY REPORTS |
| ISSN: | 2352-4847 |
| Popis: | 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) |
| Databáze: | OpenAIRE |
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