This paper presents the robust shape optimization of electromechanical devi
ces considering the uncertainties of design variables based on numerical op
timization technique and finite element method (FEM). In the formulation of
robust optimization, the multiobjective function is composed of the mean a
nd the standard deviation of original objective function, while the constra
ints are supplemented by adding penalty term to original constraints. The s
equential quadratic programming (SQP) is applied to solve the robust optimi
zation problem. The results of robust shape optimization considering manufa
cturing errors are compared with those of conventional shape optimization.