Permanent-magnet excited synchronous motor servo drives are increasingly employed in industrial applications. During mass production, deviations from the ideal machine occur. Thereby, parasitic effects such as cogging torque and torque ripple are influenced in particular. For permanent-magnet excited machines, the magnet's quality is important. There are many possible failure configurations requiring the study of their influence on the machine's behavior. In this paper, an approach for the estimation of cogging torque considering magnetization faults is presented. This approach is applied to determine crucial configurations of permanent-magnet faults. The intent is to evaluate the influence of the faulty magnetic materials with its asymmetries on the later produced machine. In the process, analytical and numerical methods are combined whereby finally a small computational effort with accurate results is achieved.Index Terms-Cogging torque, electrical machine, estimation of manufacturing fault tolerance, magnetization fault, permanent-magnet motor, servo-drive.
Abstract-For the evaluation of the acoustic performance of electrical machines in variable operating conditions, a real-time auralization procedure applicable in virtual reality environments is developed. Electromagnetic forces, structural dynamics and acoustic radiation as well as room acoustic aspects are considered. The combination of electromagnetic simulation with a unitwave response-based approach and a room acoustic virtual environment software allows for an efficient implementation. Simulation results are shown for two different types of electrical machines-one induction machine and one permanent magnet synchronous machine. Practical experiments are used to finetune and validate the numerical models.
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