Multi-Objective Optimization Design of a Stator Coreless Multidisc Axial Flux Permanent Magnet Motor

Abstract

The stator coreless axial flux permanent magnet (AFPM) motor with a compact structure, low torque ripple, and high efficiency is particularly suitable as a motor for electric propulsion systems. However, it still requires great effort to design an AFPM motor with higher torque density and lower torque ripple. In this paper, a stator coreless multidisc AFPM (SCM-AFPM) motor with a three-rotor and two-stator topology is proposed. To reduce rotor mass and increase torque density, the proposed SCM-AFPM motor adopts the hybrid permanent magnets (PMs) array with Halbach PMs in the two-terminal rotor and the conventional PMs array in the middle rotor. In addition, a multi-objective optimization model combining response surface method (RSM) and genetic algorithm (GA) is proposed and applied to the proposed SCM-AFPM motor. With the help of the three-dimensional finite-element analysis (3-D FEA), it is found that the torque ripple of the optimized SCM-AFPM motor is 4.73%, while it is 6.21% for the initial motor. Its torque ripple is reduced by 23.8%. Therefore, the proposed multi-objective optimization design method can quickly and reliably obtain the optimal design of the SCM-AFPM motor.

Design, Analysis and Experimental Verification of a Coreless Permanent Magnet Synchronous Motor

“…An increasing number of articles, for example [1,5], have presented the results of research related to the development of new designs of electric machines for specific applications. The main focus was on both core and coreless permanent magnet machines [6][7][8][9]. For example, research work on axial flux permanent magnet coreless motors focussed on improving both solutions with classic windings and solutions with windings of conductors made using 3D printing technology or the techniques used to manufacture printed circuit boards (PCBs) [3,7,10,11].…”

Characteristics Analysis and Comparison of a Cylindrical Linear Induction Motor with Composite Secondary Structure

“…To compare the impact of two different secondary structures on the thrust characteristics of a motor objectively, a multi-objective design optimization strategy has been used to improve the thrust, thrust ripple, and consumed magnet volume for a linear motor [6,13,14]. According to the optimization results, the best parameter combination is selected for 3D-FEA modeling and simulation calculation.…”

Design and Multi-Objective Optimization of a Composite Cage Rotor Bearingless Induction Motor

“…According to the analysis of the research results of motor optimization, multi-objective optimization based on an intelligent algorithm has become an effective way to improve motor performance. The intelligent algorithm combining the response surface model (RSM) with the particle swarm optimization algorithm, genetic algorithm, NSGA-II, and other algorithms has been applied in the multi-objective optimization of various motors, and the performance of the optimized motor has been significantly improved [8][9][10][11]. NSGAII has the advantages of simple operation, good convergence speed, and good robustness, and the NSGAII also has a small amount of calculation, which is very suitable for these optimization parameters and objectives [12].…”