Data-driven Sliding Mode Control for Phase-shifted Full Bridge

• Published in: Data Driven Control and Learning Systems Conference (Online) pp. 2339 - 2343
• Main Authors: Zhang, Haoming, Guo, Haibin, Zhang, Yumo, Gao, Shengnan, Pang, Zhonghua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.05.2025
• Subjects: Adaptation models; Adaptive control; Bridges; Dynamic response; gaussian error function; Load modeling; model free adaptive control; Phase-shifted full bridge; Robustness; Sensitivity; Simulation; Sliding mode control; Uncertain systems
• ISSN: 2767-9861
• DOI: 10.1109/DDCLS66240.2025.11065540

To address the challenges of mismatch disturbances caused by load variations and parameter uncertainties in phase-shifted full-bridge DC-DC converters, this paper proposes a novel data-driven sliding mode dual-loop control strategy that synergistically integrates model free adaptive control (MFAC) with sliding mode control (SMC). The inner-loop employs an enhanced sliding mode controller featuring a gaussian error function-constructed boundary layer. This design enables continuous smooth control within the boundary layer while preserving conventional sliding mode characteristics outside the layer. The outer-loop utilizes a MFAC framework to ensure system adaptability. Simulation results demonstrate that the proposed strategy effectively reduces system sensitivity to parameter variations, maintains rapid dynamic response, and significantly suppresses the inherent chattering phenomenon in traditional SMC. Comparative analyses further validate the superior robustness and control precision of this hybrid approach under diverse operating conditions.