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

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.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ddcls66240.2025.11065540
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Zhong‐Hua Pang, Yumo Zhang, Shengnan Gao, Haibin Guo et al.
Hydraulic and Pneumatic Systems
article

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

Zhong‐Hua Pang, Yumo Zhang, Shengnan Gao, Haibin Guo, Haoming Zhang
article en

Abstract

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.

North China University of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 83%
Hydraulic and Pneumatic Systems
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Data-driven Sliding Mode Control for Phase-shifted Full Bridge — Zhong‐Hua Pang, Yumo Zhang, et al. · (2025) | TGRS Research Map | TGRS