An Extended Analytical Algorithm for Optimal Designing of a TORUS-type Non-slotted Axial-Flux Permanent Magnet Motor

[摘要] This paper presents an analytical algorithm for optimal designing of double-sided TORUS-type non-slotted axial-flux permanent magnet motors with surface mounted magnets. For this purpose, the machine design process is treated here as a procedure that receives the machine rated parameters and design constraints and yields the optimal values of various design parameters. The design optimization problem is established here on categorizing the design parameters into several groups. The decision variables are specified as selective parameters. The constraints are imposed through the developed equations for sizing and performance prediction of the machine, yielding the calculable parameters analytically and independently from finite element analysis (FEA). The objectives are the machine efficiency and power density, which are finally maximized based on PSO algorithm. The design algorithm was implemented in MATLAB, and the solution was then employed for validation through simulating by FEA and fabricating an experimental prototype. The fabricated machine has a compact size and appropriate performances under various loading conditions. The program solution is also compatible with the results of FEA and experiment on the fabricated prototype. These all demonstrate the accuracy and efficiency of the proposed machine design algorithm.

[学科分类] 自动化工程

[关键词] TORUS-NS AFPM motor ;Sizing equations ;Design algorithm ;Performance characteristics ;Optimization