Abstract
This study introduces a robust outer-loop sliding mode control (SMC) approach for boost-type totem-pole power factor correction (PFC) rectifiers, utilizing singular perturbation theory to improve dynamic performance. Traditional control methods for boost converters often struggle with nonminimum phase behavior, leading to slow response, overshoot, and potential instability in voltage regulation. The proposed terminal (TSMC) effectively addresses these non-minimum phase issues, ensuring fast and stable dclink voltage control, zero steady-state error, and resilience to parametric uncertainties. A super-twisting algorithm is incorporated to minimize chattering while maintaining smooth control action. The control framework ensures accurate voltage tracking in the outer loop, seamlessly coordinating with the inner current loop to achieve high power quality and low total harmonic distortion (THD). Simulation and experimental results on a totem-pole PFC prototype validate the approach, demonstrating rapid transient response, negligible overshoot, and effective mitigation of non-minimum phase effects, making it suitable for high-performance grid-connected PFC rectifiers in electric vehicle (EV) charging systems.
| Original language | English |
|---|---|
| Title of host publication | 2025 Saudi Arabia Smart Grid, SASG 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331577506 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 Saudi Arabia Smart Grid, SASG 2025 - Riyadh, Saudi Arabia Duration: 15 Dec 2025 → 18 Dec 2025 |
Publication series
| Name | 2025 Saudi Arabia Smart Grid, SASG 2025 |
|---|
Conference
| Conference | 2025 Saudi Arabia Smart Grid, SASG 2025 |
|---|---|
| Country/Territory | Saudi Arabia |
| City | Riyadh |
| Period | 15/12/25 → 18/12/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- EV chargers
- PFC converter
- Sliding mode control
- Terminal SMC
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
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