Fixed-Time Sliding Mode Control of DC-DC Buck Converter with Guaranteed Transient Performance

The stability and transient performance of DC-DC buck converter output voltage is critical. In order to address the voltage control problem under mismatched disturbances and time-varying output constraints, this paper proposes a voltage control framework of the DC-DC buck converter with the guaranteed prescribed performance and fixed stabilization time based on a higher-order fully actuated approach. Firstly, to estimate the mismatched disturbance, a fixed-time extended state observer (ESO) is designed. The original model of buck converter is transformed into a high-order fully actuated system. The uncertainties are approximated by a radial basis function neural network (RBFNN). Then, an adaptive fixed-time sliding mode control law is proposed. The proposed control law could guarantee the prescribed transient performance for the buck converter in the presence of load changing and bounded model uncertainties. The fixed-time stability of the closed-loop system is guaranteed by the Lyapunov approach. The proposed control law is evaluated by comparative experimental tests. Experimental results illustrate the effectiveness and superiority of the proposed control strategy.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-07-23
DOI
https://doi.org/10.3390/electronics15153253
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fixed-Time Sliding Mode Control of DC-DC Buck Converter with Guaranteed Transient Performance

José I. Leon, Xinpo Lin, C S Li, Xiaoning Shen et al.
Electronics
Advanced DC-DC Converters
article

Fixed-Time Sliding Mode Control of DC-DC Buck Converter with Guaranteed Transient Performance

José I. Leon, Xinpo Lin, C S Li, Xiaoning Shen, Yabin Gao, Yue Zhao, Xinxin Liu, Chaoqun Song
article en

Abstract

The stability and transient performance of DC-DC buck converter output voltage is critical. In order to address the voltage control problem under mismatched disturbances and time-varying output constraints, this paper proposes a voltage control framework of the DC-DC buck converter with the guaranteed prescribed performance and fixed stabilization time based on a higher-order fully actuated approach. Firstly, to estimate the mismatched disturbance, a fixed-time extended state observer (ESO) is designed. The original model of buck converter is transformed into a high-order fully actuated system. The uncertainties are approximated by a radial basis function neural network (RBFNN). Then, an adaptive fixed-time sliding mode control law is proposed. The proposed control law could guarantee the prescribed transient performance for the buck converter in the presence of load changing and bounded model uncertainties. The fixed-time stability of the closed-loop system is guaranteed by the Lyapunov approach. The proposed control law is evaluated by comparative experimental tests. Experimental results illustrate the effectiveness and superiority of the proposed control strategy.

ElectronicsVol. 15(15)
Nanjing University of Information Science and Technology (CN), Harbin Institute of Technology (CN), Yangtze River Delta Physics Research Center (China) (CN), Wuhu Hit Robot Technology Research Institute (CN), Universidad de Sevilla (ES)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province, State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Peace, Justice and strong institutions
Openalex Percentile: Top 15%
Advanced DC-DC Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.