A robust methodology for design optimizations of electromagnetic devices under uncertainties

Abstract

To find the robust optimal solution of an engineering design problem under uncertainties, a novel robust optimization methodology is proposed. In the proposed methodology, the robust performances are treated as additional constraint functions, and the performance parameter is kept as the driving force to evolve the iteration procedures to find the exactly global robust optimal solution. An effective yet simple robust performance checking mechanism to check the robust performance constraints only to the potential robust “optimal” solutions to reduce the computational cost is introduced and its implemental procedure is developed. The proposed methodology can be used to search both the robust and the global optimal solutions of an electromagnetic design problem. Finally, the proposed methodology is applied to solve a well defined inverse problem, and its performance is compared to that of an existing robust optimizer.