Kudiyarasan S, Sthalasayanam N, Karunakaran Vijayalakshmi
BHAVINI, DAE, Kalpakkam, Tamilnadu, 603127, India.
SRM Institute of Science and Technology, Chennai, Tamilnadu, 600089, India.
Heliyon. 2023 Mar 15;9(3):e14437. doi: 10.1016/j.heliyon.2023.e14437. eCollection 2023 Mar.
In recent years, the applications of Changed Reluctance Motors have expanded, from control system stepping motors to high torque e-vehicle applications. High-speed operation and a light-weight driving motor are required for an effective electric vehicle design. Switched reluctance motor (SRM) is ideal for use in electric vehicles due to its low torque-to-weight ratio and magnet-free rotor design. The increased torque ripple is the most serious issue with switching reluctance motors. The optimization technique is used to optimize switching controllers in this study, and a comparison is made between a sliding mode controller (SMC) with a modified reaching law and a new fuzzy controller (FC). The magnitude of torque ripple is simulated and compared for both controllers using a MATLAB simulink model. The proposed innovative fuzzy controller model significantly improved torque performance and reduced torque ripples based on simulation results.
近年来，可变磁阻电机的应用范围不断扩大，从控制系统步进电机到高扭矩电动汽车应用。有效的电动汽车设计需要高速运行和轻量化驱动电机。开关磁阻电机（SRM）因其低扭矩重量比和无磁转子设计，非常适合用于电动汽车。转矩脉动增加是开关磁阻电机最严重的问题。本研究采用优化技术对开关控制器进行优化，并对具有改进趋近律的滑模控制器（SMC）和新型模糊控制器（FC）进行了比较。使用MATLAB仿真模型对两种控制器的转矩脉动大小进行了仿真和比较。基于仿真结果，所提出的创新模糊控制器模型显著提高了转矩性能并降低了转矩脉动。
