In recent decades, the ongoing advancement in electric vehicle development has resulted in electric motors becoming more popular, widespread and significant. One of these motor types is the switched reluctance motor (SRM). The SRM is classified as a special electrical machine, characterised by its unique geometry and operational features compared to traditional motors. With advancements in the power electronics field, SRMs have gained popularity and preference for various systems and devices, such as electric vehicles, over the past few years. This work comprehensively explores the design, control and analysis of SRMs with stator/rotor pole numbers 6/4, 8/6 and 10/8 using co-simulation with the Ansys and MATLAB software. Ansys is employed for motor design and magnetic analysis, while MATLAB is utilised for the motor drive and control systems. The design is optimised using a genetic algorithm (GA). Regarding the control system, PI-tuning and fuzzy-tuned PI controllers are applied. SRMs are also compared to assess their operational parameters and determine the optimal motor for the application. In addition to these simulation studies, a real-time application of the 8/6 SRM is conducted in a laboratory using a driver board featuring field-programmable gate arrays (FPGAs) as an integrated circuit and an asymmetric bridge converter (ABC). Through established experimental and measurement set-ups, the structural characteristics of the motor and the parameter values influencing its operating performance are measured and analysed. The simulation and experimental results are presented in terms of motor performance parameters such as efficiency, torque and speed. While the 8/6 SRM operated in real time with 86.10% efficiency and 3.2 N??m torque, the simulated 8/6 SRM achieved 86.21% efficiency and 3.4 N??m torque, showing good agreement.
Gecer et al. (Thu,) studied this question.