Optimal Design of Marine Motors for Joint Efficiency and Economic Optimization

Yingshui Sun, Yuxuan Fang, Qiao Zhang () and Qing Liu
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Yingshui Sun: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430079, China
Yuxuan Fang: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Qiao Zhang: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Qing Liu: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430079, China

Energies, 2023, vol. 16, issue 12, 1-19

Abstract: The permanent magnet synchronous motor (PMSM) has been widely used in the field of ship electric propulsion due to its advantages of a small size, light weight, low loss, and high efficiency. In this paper, a 100 kW ship-side thruster motor was taken as the research object, and the problem of the high harmonic content of the air gap magnetic flux density in the motor was addressed by designing a rotor eccentricity. On this basis, the hybrid Taguchi method of genetic algorithm was used to optimize the rotor structural parameters with increasing the efficiency and reducting the cost of the motor as the optimization objectives. The results show that the performance and economy of the motor have been greatly improved after optimization. Finally, the motor weight reduction hole was designed, and a prototype was manufactured and tested. The test data are within the allowable range compared with the simulation data, verifying the effectiveness of the multiobjective optimization algorithm proposed in this paper.

Keywords: permanent magnet synchronous; hybrid genetic algorithm; multiobjective optimization; prototype testing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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