Multiobjective Optimization Design of Transmitting Antenna for Microwave Wireless Power Transmission

Abstract

Microwave wireless power transmission is a technology that achieves wireless power transmission through microwaves, widely used in fields such as wireless charging and space solar power plants. Its core performance indicators include beam collection efficiency, peak radiation level, and aperture power coefficient. This paper proposes a multiobjective antenna optimization design method for wireless power transmission that integrates surrogate models to address the issue of insufficient consideration of these performance metrics and inefficient optimization in existing research. First, Bernstein polynomial basis functions are used to reduce the dimensionality of the antenna design decision space and the number of decision variables, Multiobjective optimization functions are analyzed and designed, a surrogate model based on Gaussian processes is constructed, and the efficiency of antenna optimization design is improved; Finally, the multiobjective optimization design of reflector antenna aperture illumination is achieved using the covariance matrix adaptive evolutionary multiobjective optimization algorithm. The numerical and comparative results have verified the effectiveness of the proposed method, providing new insights for the design of microwave wireless power transmission systems.