Design of Axially Symmetric Power Combiners Using Surrogate Based Optimization

Abstract

Abstract. The design and optimization of axially symmetric power combiners usually rely on computationally expensive full-wave simulations. Circuit models are often used to reduce the computational cost, however, full-wave parameter sweeps or optimization are usually still required. Surrogate based optimization utilizing circuit models offers an effective means to reduce the computational cost, since the circuit model can be aligned to the full-wave model, usually resulting in fewer full-wave simulations being required. This paper presents some of the recent advances in using Space Mapping, which is a surrogate based optimization technique, for the design and optimization of axially symmetric power combiners.