SHAPE OPTIMIZATION OF PM DEVICES USING CONSTRAINED GRADIENT-BASED INVERSE PROBLEM METHODOLOGY

Permanent Magnets (PMs) are widely used in a variety of industrial equ ipments and devices. In magnet design, the shape of a PM plays an Impo rtant role and minimization of the leakage nux improves the performanc e of the device. In this paper, shape optimization of PM devices using Gradient based Inverse Problem Methodology (GIPM) is presented. This paper describes for the first time the use of analytical sensitivities for shape optimization of PM devices. Furthermore, the adjoint method of the direct differentiation approach is used for the computation of the sensitivities of the object function. Two case studies are presen ted, The first involves a magnetic circuit with an air gap and PM exci tation, the second Is that of a PM pole face. In both cases, design op timization is employed to obtain a desired nun density profile in the air gap with a minimum leakage nux and minimum size of the PM material .