Journal of Applied and Computational Mechanics

Design of Doubly Salient Permanent Magnet Generator for ‎Output Power Enhancement using Structural Modification

Document Type : Research Paper

Authors

1 Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University,‎ Khon Kaen 40002, Thailand

2 Department of Electrical and Computer Engineering, Kasetsart University, Chalermphakiet Sakon Nakhon Campus, Sakon Nakhon, 47000, Thailand‎

3 School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC 3000, Australia

Abstract

The doubly salient permanent magnet generator (DSPMG) is widely known as an efficient machine for electrical production from renewable energy. In this paper, we aim to improve the output power of the DSPMG using a structural modification, which is targeted for low-speed electrical generations. Structural parameters including the stator pole depth, thickness of permanent magnet, stator pole arc, and number of winding turns were adjusted, then an optimal value of those parameters was selected based on the characteristics of the generator tested during no-load and on-load conditions. Simulations were based on the finite element method. The generator was targeted to be used for the rated power of 200 W. It was found that the optimally designed generator had a higher electromotive force of 36.1%, a lower cogging torque of 20%, and a higher output power of 12.2% than the conventional structure. The leakage flux of the proposed structure was also improved from the conventional one. Thus, the generator designed in this work could be another capable choice for electrical generation from renewable energy. The proposedly modified technique can also be adapted for output profile improvement of the doubly salient permanent magnet machines which are extensively used for renewable energy production nowadays.

Keywords

Main Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Journal of Applied and Computational Mechanics
Volume 7, Issue 4
October 2021
Pages 2171-2178