Multi-Objective Optimal Design of a DC Inductor Using Particle Swarm Optimization Techniques

This paper presents an advanced design methodology for DC inductors used in buck converters, utilizing Particle Swarm Optimization to address multi-objective optimization challenges in discrete design spaces. The goal is to minimize the inductor's size while reducing losses, essential for enhancing system performance and sustainability. A comprehensive loss model that includes both core and winding losses was developed to improve design efficiency. A prototype based on optimized parameters was fabricated and tested, showing improvements in efficiency and compactness compared to traditional designs. This methodology streamlines the design process, offers scalable solutions, and has practical implications in power electronics, aiding in the design of more efficient power converters for industrial applications.