Extended state observer-based sliding mode control for PWM-based DC–DC buck power converter systems with mismatched disturbances

• Published in: IET control theory & applications Vol. 9; no. 4; pp. 579 - 586
• Main Authors: Wang, Junxiao, Li, Shihua, Yang, Jun, Wu, Bin, Li, Qi
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 26.02.2015
• Subjects: Buck converters; DC‐DC power convertors; disturbance estimation technique; disturbance rejection ability; Disturbances; ESO‐based SMC method; extended state observer‐based sliding mode control; Manifolds; mismatched disturbances; nominal SMC method; observers; Power converters; power system control; PWM power convertors; PWM‐based DC–DC buck power converter systems; Rejection; Simulation; Sliding mode control; Special Issue: Sliding-Mode Based Disturbance Estimation, Attenuation and Fault Detection; stability; stability analysis; State observers; variable structure systems; disturbance rejection ability; disturbance estimation technique; PWM power convertors; stability analysis; DC-DC power convertors; PWM-based DC–DC buck power converter systems; extended state observer-based sliding mode control; mismatched disturbances; ESO-based SMC method; nominal SMC method; power system control; observers; variable structure systems; stability
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2014.0220

This study investigates an extended state observer (ESO)-based sliding mode control (SMC) approach for pulse-width modulation-based DC–DC buck converter systems subject to mismatched disturbances. By designing a novel sliding-mode manifold incorporated with a disturbance estimation technique, an ESO-based SMC method is designed to deal with mismatched disturbances. A rigorous stability analysis is also presented. As compared with the nominal SMC method, the proposed method obtains a better disturbance rejection ability even the disturbances do not satisfy the so-called matching condition. Simulations and experimental comparison results are implemented to verify the effectiveness of the proposed control method.