Natural Frequency Identification of a Switched Reluctance Motor Using FEM Software
摘要
Switched reluctance motors (SRMs) are gaining popularity in the development of sustainable electric vehicles. Their simple design, lower production costs, and rugged construction make them attractive alternatives to existing motor drives. However, a significant hurdle to their widespread adoption is the generation of high noise levels and uneven torque output (torque ripple). This paper explores various structural characteristics aimed at finding the operational range of an 8/6 SRM by determining its natural frequencies, studying its response to harmonic loading and the acoustic characteristics at different frequencies, without compromising its electromagnetic performance. The research employs a finite element analysis (FEA), by using various software to evaluate the effectiveness of each design change on the motor’s performance. The accuracy of the model and its natural frequency is then validated through experimental measurements. A highly accurate result of modal analysis would mean that the results from further analyses could be deemed to be correct. Total deformation of the motor and the velocity characteristics of its components are determined for the harmonic loading. Acoustic characteristics of the motor are thus obtained from the previous results. The study carried out provides the impetus for further study of fault diagnosis experimentation and efforts to reduce the vibrations and acoustic emissions.