Global Optimization Design of a Linear Oscillating Motor Based on Kriging Surrogate Model

Abstract

This paper describes the global optimization design for a linear oscillating motor used to drive the double cylinder linear vapor compressor, which is working at temperature holding frequency and refrigeration frequency. The improved efficient global optimization based on the kriging surrogate model is adopted to solve this multi-objective, multivariable, multi-constraints, and multi-region minima machine design problem. Compared with projection simplex gradient algorithm, the algorithm proposed in this paper has less iterations and higher accuracy. The finite element analysis is used to verify optimized results, and the optimization effectiveness.