Adaptive Finite-Time Fractional Order Sliding Mode Controller with GMO Optimization Algorithm for Inverted Pendulum System

This study presents an innovative technique for controlling an inverted pendulum. An adaptive finite-time fractional order sliding mode controller is suggested to ensure stability and precise tracking of the trajectory while minimizing the chattering phenomenon. The controller coefficients were further refined through the application of the Geometric Mean Optimizer (GMO) method. Using MATLAB/Simulink 2021b, the suggested method’s performance was simulated and compared to alternative approaches.

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Published
2024-11-05
DOI
https://doi.org/10.1109/iccia65044.2024.10768159
Primary Topic
Advanced Control Systems Design
Type
article
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article

Adaptive Finite-Time Fractional Order Sliding Mode Controller with GMO Optimization Algorithm for Inverted Pendulum System

Hadi Delavari, Hamoun Maleki, Siavash Shirali
Advanced Control Systems Design
article

Adaptive Finite-Time Fractional Order Sliding Mode Controller with GMO Optimization Algorithm for Inverted Pendulum System

Hadi Delavari, Hamoun Maleki, Siavash Shirali
article en

Abstract

This study presents an innovative technique for controlling an inverted pendulum. An adaptive finite-time fractional order sliding mode controller is suggested to ensure stability and precise tracking of the trajectory while minimizing the chattering phenomenon. The controller coefficients were further refined through the application of the Geometric Mean Optimizer (GMO) method. Using MATLAB/Simulink 2021b, the suggested method’s performance was simulated and compared to alternative approaches.

Bu-Ali Sina University (IR), Hamedan University of Technology (IR)
Affordable and clean energy
Openalex Percentile: Top 74%
Advanced Control Systems Design
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