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Research Article | Open Access

Model-free scheme using time delay estimation with fixed-time FSMC for the nonlinear robot dynamics

College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia; Emails: ahmad_t_azar@ieee.org, aazar@psu.edu.sa
Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 11586, Saudi Arabia
Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt; Email: ahmad.azar@fci.bu.edu.eg
Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad 10001, Iraq; Email: ibraheemki@coeng.uobaghdad.edu.iq
Department of Electronics and Communication Engineering, Uruk University, Baghdad 10001, Iraq
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Abstract

This paper presents a scheme of time-delay estimation (TDE) for unknown nonlinear robotic systems with uncertainty and external disturbances that utilizes fractional-order fixed-time sliding mode control (TDEFxFSMC). First, a detailed explanation and design concept of fractional-order fixed-time sliding mode control (FxFSMC) are provided. High performance tracking positions, non-chatter control inputs, and nonsingular fixed-time control are all realized with the FxSMC method. The proposed approach performs better and obtains superior performance when FxSMC is paired with fractional-order control. Furthermore, a TDE scheme is included in the suggested strategy to estimate the unknown nonlinear dynamics. Afterward, the suggested system's capacity to reach stability in fixed time is determined by using Lyapunov analyses. By showing the outcomes of the proposed technique applied to nonlinear robot dynamics, the efficacy of the recommended method is assessed, illustrated, and compared with the existing control scheme.

CLC number: 93C10, 93C40, 93D09, 93D21, 93B52

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AIMS Mathematics
Pages 9989-10009

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Cite this article:
Ahmed S, Azar AT, Ibraheem IK. Model-free scheme using time delay estimation with fixed-time FSMC for the nonlinear robot dynamics. AIMS Mathematics, 2024, 9(4): 9989-10009. https://doi.org/10.3934/math.2024489

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Received: 04 January 2024
Revised: 15 February 2024
Accepted: 04 March 2024
Published: 15 April 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)