Advancements in STSMC: Fuzzy Logic-Based Time-Varying Sliding Surfaces for Robust Control

This paper presents an in-depth exploration of Super Twisting Sliding Mode Control (STSMC) combined with Fuzzy Logic Control (FLC) and time-varying sliding surfaces (SS) to enhance the efficiency and robustness of control systems. Traditional Sliding Mode Control (SMC) techniques suffer from chattering effects and sensitivity to disturbances, limiting their applicability in high-performance control systems. The integration of the Super Twisting Algorithm (STA) with FLC and adaptive time-varying SS offers improved disturbance rejection, reduced steady-state error, and faster convergence rates. The mathematical modeling, simulations, and experimental validation presented in this study demonstrate the advantages of this integrated approach. The paper further discusses implementation challenges and future research directions aimed at optimizing real-time performance and scalability.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-17
DOI
https://doi.org/10.22214/ijraset.2025.67438
Primary Topic
Metal and Thin Film Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancements in STSMC: Fuzzy Logic-Based Time-Varying Sliding Surfaces for Robust Control

S Balanageshwara
International Journal for Research in Applied Science and Engineering Technology
Metal and Thin Film Mechanics
article

Advancements in STSMC: Fuzzy Logic-Based Time-Varying Sliding Surfaces for Robust Control

S Balanageshwara
article en

Abstract

This paper presents an in-depth exploration of Super Twisting Sliding Mode Control (STSMC) combined with Fuzzy Logic Control (FLC) and time-varying sliding surfaces (SS) to enhance the efficiency and robustness of control systems. Traditional Sliding Mode Control (SMC) techniques suffer from chattering effects and sensitivity to disturbances, limiting their applicability in high-performance control systems. The integration of the Super Twisting Algorithm (STA) with FLC and adaptive time-varying SS offers improved disturbance rejection, reduced steady-state error, and faster convergence rates. The mathematical modeling, simulations, and experimental validation presented in this study demonstrate the advantages of this integrated approach. The paper further discusses implementation challenges and future research directions aimed at optimizing real-time performance and scalability.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 94%
Metal and Thin Film Mechanics
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