An Open-Source graphical tool for class E PA design exploration and optimization
Year: 2025
Type: article
Abstract: • A unified time-domain model for ideal single-ended Class-E power amplifiers. • Extended design with variable duty cycle, voltage switching (VVS), and derivative switching (VDS). • A GUI-based open-source CAD tool for interactive analysis and validation. • Integrated Python-based global optimization to automate component selection. • Validate the model through high-fidelity commercially available nonlinear harmonic balance simulation. This paper presents a novel platform for the efficient analysis, design, and optimization of ideal single-ended Class-E power amplifiers (PAs). It employs a comprehensive time-domain analytical model, which extends the conventional design space by incorporating variable duty cycles, variable voltage switching (VVS), and variable derivative voltage switching (VDS), enabling precise evaluation of key performance parameters such as harmonic efficiency, maximum output power capability, maximum operating frequency, and device stress. To facilitate practical design verification, an open-source, GUI-based CAD tool has been developed, providing researchers with an accessible and interactive environment for analysis and validation. In addition, a Python-based global optimization algorithm is integrated into the framework to automate component selection and enhance design robustness, particularly in scenarios involving finite DC-feed inductance. The accuracy and applicability of the proposed methodology are validated through nonlinear harmonic balance (HB) simulations. The results confirm the model’s ability to predict system behavior with high fidelity, making it a valuable resource for both academic and industrial design applications.
Source: Results in Engineering
Institutions: Delft University of Technology, KU Leuven
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,940
Funder: Technische Universiteit Delft
OpenAlex ID: W4416822159