Speed Control of Switched Reluctance Motor for EVs using FLC-DTC
No Thumbnail Available
Date
2025-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
Nowadays, the popularity and demand for electric vehicles have increased, and much effort
has been devoted to the creation of high-performance EV drives. This is primarily to reduce
environmental pollution caused by emissions from internal combustion engine (ICE)-powered
vehicles, and to replace fossil fuels with renewable energy sources because of their rapid
depletion. Electric motors are the key components of electric vehicles; thus, their selection is
important due to their effects on the performance of the entire system. Many types of electric
motors have been analyzed and evaluated for the use electric vehicles. Switched Reluctance
Motor (SRM) are suitable for high-speed drive application due to the absence permanent
magnet and winding in the rotor. SRM have a numerous of advantages over other electric
motors due to their robust structure, low cost, ability of fault-tolerant and resilience. In
spite of these advantages, SRM suffers from high torque ripple which will result in undesired
vibration and acoustic noise. When taking into account the needs of traction application,
the most significant and difficult SRM concerns are torque ripple minimization and reference
speed tracing. An adequate control scheme is essential for the drive to have a good dynamic
and transient response and also to tracks the reference speed while minimizing the ripple
torque of the SRM. In this thesis, a fuzzy logic controller is designed to increase system
performance by reducing torque ripple and eliminating the speed reference tracking problem.
The designed controller enables the actual speed to follow closely with the reference speed
in 0.047 seconds. It shows 59.04% and 53.47% improvement in rise time compared to the PI
controller and conventional FLC, respectively. Simulation results were obtained using the
MATLAB/Simulink environment for the effectiveness of the study.
Description
Keywords
Electric vehicle, Switched reluctance motor, Direct torque control, Fuzzy logic control, MATLAB/Simulink