Analysis and Optimization of Axial Flux Permanent Magnet Machine for Cogging Torque Reduction

Hina Usman, Junaid Ikram, Khurram Saleem Alimgeer, Muhammad Yousuf, Syed Sabir Hussain Bukhari and Jong-Suk Ro
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Hina Usman: Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan
Junaid Ikram: Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan
Khurram Saleem Alimgeer: Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan
Muhammad Yousuf: Electrical and Computer Engineering Department, Abbottabad Campus, COMSATS University Islamabad, Islamabad 22060, Pakistan
Syed Sabir Hussain Bukhari: Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan
Jong-Suk Ro: School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06910, Korea

Mathematics, 2021, vol. 9, issue 15, 1-14

Abstract: In this paper, a hexagonal magnet shape is proposed to have an arc profile capable of reducing torque ripples resulting from cogging torque in a single-sided axial flux permanent magnet (AFPM) machine. The arc-shaped permanent magnet increases the air-gap length effectively and makes the flux of the air-gap more sinusoidal, which decreases air-gap flux density and hence causes a reduction in cogging torque. Cogging torque is the basic source of vibration, along with the noise in PM machines, since it is the main cause of torque ripples. Cogging torque is independent of the load current and is proportional to the air-gap flux and the reluctance variation. Three-dimensional finite element analysis (FEA) is used in the JMAG-Designer to analyze the performance of the conventional and proposed hexagonal-shaped PM AFPM machines. The proposed shape is designed to reduce cogging torque, and the voltage remains the same as compared to the conventional hexagonal-shaped PM machine. Further, optimization is performed by utilizing an asymmetric overhang. Latin hypercube sampling (LHS) is used to create samples, the kriging method is applied to approximate the model, and a genetic algorithm is applied to obtain the optimum parameters of the machine.

Keywords: Axial flux permanent magnet machine; 3D FEA; Genetic algorithm; hexagonal-shaped PMs; PM overhang (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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