Ruzbehi S, Hahn I (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2022 23rd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2022
Event location: Cancun, MEX
ISBN: 9781665498630
DOI: 10.1109/COMPUMAG55718.2022.9827519
In this study, a Topology Optimization procedure of a 36kW permanent magnet synchronous motor (PMSM) is presented to minimize the weight, torque ripple and cogging torque, also to ensure the maximum average torque in a reasonable amount using a novel Evolutionary Algorithm. The structure of the rotor and magnets, which are effective in the performance and weight of PMSM are optimized together and compared with the conventional design. In order to show the validity of methodology performance, also to investigate electromagnetic and operational performances of the motor, the magnetic field is analyzed using finite element method with FEMM software in a discretized design area and online optimization process via Matlab. The results lead to better flux linkage and back-EMF wave shape, and torque ripple and cogging torque reduction, which cause acoustic noise and vibration improvement. This new Topology Optimization method can be extended to other active parts of the machine with different objective functions.
APA:
Ruzbehi, S., & Hahn, I. (2022). Structural Optimization of PM Synchronous Machine Based on Multi-objective Algorithm for Lower Torque Ripple and Volume. In 2022 23rd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2022. Cancun, MEX: Institute of Electrical and Electronics Engineers Inc..
MLA:
Ruzbehi, Shabnam, and Ingo Hahn. "Structural Optimization of PM Synchronous Machine Based on Multi-objective Algorithm for Lower Torque Ripple and Volume." Proceedings of the 23rd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2022, Cancun, MEX Institute of Electrical and Electronics Engineers Inc., 2022.
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