Optimization of Air-Gap Profile in Interior Permanent-Magnet Synchronous Motors for Torque Ripple Mitigation

Journal Article · Mon Jan 21 04:00:00 EST 2019 · IEEE Transactions on Transportation Electrification

DOI:https://doi.org/10.1109/TTE.2019.2893734· OSTI ID:1601137

Liang, Jingchen ^[1]; Parsapour, Amir ^[2]; Yang, Zhuo ^[2]; Caicedo-Narvaez, Carlos ^[2]; Moallem, Mehdi ^[3]; Fahimi, Babak ^[2]

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1. Univ. of Texas at Dallas, Richardson, TX (United States); University of Central Florida
2. Univ. of Texas at Dallas, Richardson, TX (United States)
3. Isfahan Univ. of Technology (Iran)

Interior permanent magnet synchronous motors (IPMSMs) have been widely used due to their high efficiency and high power density. Minimization of torque pulsation resulting in vibration and acoustic noise is one of the important design considerations for IPMSMs. In this paper, a grid on/off search method for the rotor profile is proposed to mitigate torque pulsation. Selection of the rotor profile is due to the fact that air-gap is the most sensitive parameter in electric machines wherein changes in flux densities can cause substantial differences in the distribution of forces. A layer comprised of 20 partitions with a 0.1 mm thickness and 3 degrees wide grids have been introduced to the rotor surface for each pole and the possible geometries have been analyzed using finite element method (FEM) in ANSYS Maxwell. An optimal design was found that has the lowest torque ripple with a higher average torque compared to the original design. Genetic algorithm (GA) has also been applied to the method to automate the coupling between Maxwell and Matlab thereby saving the simulation time. Finally, complete structural analysis has been done for both of the original and optimal designs to verify the superiority and feasibility of the proposed design.

• Research Organization: Univ. of Central Florida, Orlando, FL (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Grant/Contract Number: EE0007327
• OSTI ID: 1601137
• Journal Information: IEEE Transactions on Transportation Electrification, Journal Name: IEEE Transactions on Transportation Electrification Journal Issue: 1 Vol. 5; ISSN 2372-2088
• Publisher: IEEE Xplore
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
air-gap optimization
genetic algorithm (GA)
interior permanent-magnet synchronous motor (IPMSM)