Fractional Order Sliding Mode Control with Fuzzy Parameter Tuning Applied to a SCARA Robot

This paper presents the application of Fractional Order Sliding Mode Control (FO-SMC) in order to achieve a robust motion trajectory regulation in dynamic robot systems. The proposed control strategy benefits of both advantages of fractional calculus and sliding mode control to upgrade the robustness and the performances of the controller. Moreover, the paper proposes to use a fuzzy tuning of sliding mode controller in order to satisfy the capabilities of the actuators. The stability of the closed loop system has been demonstrated using the Lyapunov theory. Simulation results demonstrate the efficiency of the proposed method achieving precise trajectory tracking and robust performances, it has been shown that fuzzy tuning of the sliding function parameters significantly reduces control variable peaks, making the control more suitable for actuator application.

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Publication Details

Published
2024-10-31
DOI
https://doi.org/10.1109/imc-ssgp63352.2024.10919770
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Fractional Order Sliding Mode Control with Fuzzy Parameter Tuning Applied to a SCARA Robot

Ahmed Saïd Nouri, Fatma Abdelhedi, Nabil Derbel, Aicha Znidi
Adaptive Control of Nonlinear Systems
article

Fractional Order Sliding Mode Control with Fuzzy Parameter Tuning Applied to a SCARA Robot

Ahmed Saïd Nouri, Fatma Abdelhedi, Nabil Derbel, Aicha Znidi
article en

Abstract

This paper presents the application of Fractional Order Sliding Mode Control (FO-SMC) in order to achieve a robust motion trajectory regulation in dynamic robot systems. The proposed control strategy benefits of both advantages of fractional calculus and sliding mode control to upgrade the robustness and the performances of the controller. Moreover, the paper proposes to use a fuzzy tuning of sliding mode controller in order to satisfy the capabilities of the actuators. The stability of the closed loop system has been demonstrated using the Lyapunov theory. Simulation results demonstrate the efficiency of the proposed method achieving precise trajectory tracking and robust performances, it has been shown that fuzzy tuning of the sliding function parameters significantly reduces control variable peaks, making the control more suitable for actuator application.

University of Sfax (TN), King Abdulaziz University (SA), University of Gabès (TN)
Affordable and clean energy
Openalex Percentile: Top 65%
Adaptive Control of Nonlinear Systems
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