Work

Self-Resonance in Ortho-Cyclical Multilayer Air-Core Inductors: Analytical Techniques and Optimization

Year: 2024

Type: article

Abstract: A multilayer air-core inductor's operational frequency limit can be known beforehand if its first self-resonance frequency can be predicted. The self-resonance frequency is due to the electrostatic capacitance stored between the turns and layers of the inductor. This article presents an analytical technique to predict the first self-resonance frequency specifically for an ortho-cyclically wound multilayer air-core inductor through electrostatic field segregations. The static capacitances between the inductor's turns and layers are segregated into vertical and horizontal electrostatic field components, and are further aggregated to predict the first self-resonance frequency. Further, a multiobjective optimization technique using the pareto-optimal fronts through key parameter variations for inductor design is presented. The analytical technique is verified with acceptable results using prototype inductors. This analytical technique and optimization can be applied in designing ortho-cyclically wound multilayer air-core inductors for low and high frequency applications.

Source: IEEE Transactions on Electromagnetic Compatibility

DOI: 10.1109/temc.2024.3452495

Authors: Arun Dilip Khilnani, Lu Wan, Danny Robert Seeley, Mark Sumner, David.W.P. Thomas, Flavia Grassi

Institutions: University of Nottingham, Politecnico di Milano

Language: English

Topic: Electromagnetic Compatibility and Noise Suppression

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Awards: Smart Cities EMC Network for Training, European Training network Of PhD researchers on Innovative EMI analysis and power Applications: ETOPIA, G434337789, European Training network in collaboration with Ukraine for electrical Transport