AccScience Publishing / IJOCTA / Online First / DOI: 10.36922/IJOCTA026280155
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RESEARCH ARTICLE

Robust fixed-time sliding mode-based trajectory tracking of LIMO mobile robots: Stability analysis and experimental validation

Saim Ahmed1* Zeeshan Haider1 Ahmad Taher Azar1,2
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1 Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh , Saudi Arabia
2 College of Computer and Information Sciences, Prince Sultan University, Riyadh , Saudi Arabia
Received: 10 July 2026 | Revised: 11 August 2026 | Accepted: 24 August 2026 | Published online: 2 September 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

This paper proposes a two-layer robust fixed-time sliding mode control (FTSMC) scheme for the trajectory-tracking problem of a differential-drive LIMO mobile robot subject to modeling uncertainties and external disturbances. At the kinematic layer, a backstepping-based velocity command is designed to stabilize the posture error dynamics. At the dynamic layer, an integral-type nonsingular fixed-time sliding surface combined with a robust reaching law drives the velocity tracking errors to zero within a settling-time bound that is independent of the initial conditions. Unlike finite-time schemes, whose convergence time grows with the initial tracking error, the proposed method provides an explicit, pre-computable fixed-time guarantee while avoiding singularity and severe chattering. The main contribution is a rigorous fixed-time stability analysis with explicit settling-time bounds, together with a hardware-friendly control law that requires only the known upper bound of the lumped disturbance. Real-time experiments on the LIMO platform, conducted under both disturbance-free and disturbed conditions, confirm that the proposed FTSMC achieves the lowest Integral Squared Error (ISE), Integral Absolute Error (IAE), and Root Mean Square Error (RMSE) among the compared methods, reducing the ISE by up to a factor of 287, the IAE by up to a factor of 11, and the RMSE by up to a factor of 17. The findings demonstrate that the proposed scheme is a high-precision, hardware-friendly solution for real-time trajectory tracking of low-cost differential-drive mobile robots.

Keywords
Fixed-time sliding mode control
Trajectory tracking
Mobile robot
LIMO robot
Robust control
Funding
This work is funded by Prince Sultan University, Riyadh, Saudi Arabia.
Conflict of interest
The authors declare they have no competing interests.
References
  1. Moudoud B, Aissaoui H. Fixed-time adaptive sliding mode-based trajectory tracking control for Wheeled Mobile Robot: Theoretical development and real-time implementation. e-Prime Adv Electr Eng Electron Energy. 2024;10:100830. https://doi.org/10.1016/j.prime.2024.100830
  2. Sun Z, Li Z, Xie H, Zheng Y, Zheng J, Chen B. Precise trajectory tracking of mecanum-wheeled omnidirectional mobile robots via a novel fixed-time sliding mode control approach. Control Theory Technol. 2024;22(4):596-611. https://doi.org/10.1007/s11768-024-00224-8
  3. Roy S, Nandy S, Ray R, Shome SN. Time delay sliding mode control of nonholonomic wheeled mobile robot: Experimental validation. In: 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE; 2014:2886-2892. https://doi.org/10.1109/ICRA.2014.6907274
  4. Moudoud B, Aissaoui H, Diany M. Extended state observer-based finite-time adaptive sliding mode control for wheeled mobile robot. J Control Decis. 2022;9(4):465-476. https://doi.org/10.1080/23307706.2021.2024458
  5. Mevo BB, Saad MR, Fareh R. Adaptive sliding mode control of wheeled mobile robot with nonlinear model and uncertainties. In: 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE). IEEE; 2018:1-5. https://doi.org/10.1109/CCECE.2018.8447570
  6. Hameed AH, Al-Samarraie SA, Humaidi AJ. Active unmatched disturbance rejection quasi-sliding observer for electronic throttle valve system based on backstepping control. SAE Int J Engines. 2025;18(2):195-211. https://doi.org/10.4271/03-18-02-0011
  7. Yavuz M, Öztürk M, Yaşkıran B. Comparison of fractional order sliding mode controllers on robot manipulator. Int J Optim Control Theor Appl. 2025;15(2):281. https://doi.org/10.36922/ijocta.1678
  8. Hameed AH, Al-Samarraie SA, Humaidi AJ. Reduced ultimate-bound of tracking error convergence for ETV system with unknown upper-bound mismatched perturbation. Proc Inst Mech Eng Part D J Automob Eng. 2025;239(10-11):4952-4971. https://doi.org/10.1177/09544070241272879
  9. Moudoud B, Aissaoui H, Diany M. Adaptive integral-type terminal sliding mode control: Application to trajectory tracking for mobile robot. Int J Adapt Control Signal Process. 2023;37(3):603-616. https://doi.org/10.1002/acs.3540
  10. Ma L, Wang C, Ge C, Liu H, Li B. Fixed-time integral sliding mode tracking control of a wheeled mobile robot. Complex Eng Syst. 2023;3(10):14. https://doi.org/10.20517/ces.2023.14
  11. Ahmed S, Azar AT. Enhanced tracking control for n-DOF robotic manipulators: A fixed-time terminal sliding mode approach with time delay estimation. Results Eng. 2024;24:102904. https://doi.org/10.1016/j.rineng.2024.102904
  12. Sun Y, Gao Y, Zhao Y, et al. Neural network-based tracking control of uncertain robotic systems: Predefined-time nonsingular terminal sliding-mode approach. IEEE Trans Ind Electron. 2022;69(10):10510-10520. https://doi.org/10.1109/TIE.2022.3161810
  13. Man Z, Paplinski AP, Wu HR. A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators. IEEE Trans Autom Control. 1994;39(12):2464-2469. https://doi.org/10.1109/9.362847
  14. Alnufaie L. Nonsingular fast terminal sliding mode controller for a robotic system: A fuzzy approach. IEEE Access. 2023;11:75522-75527. https://doi.org/10.1109/ACCESS.2023.3288000
  15. Zhang Z, Leibold M, Wollherr D. Integral sliding-mode observer-based disturbance estimation for Euler-Lagrangian systems. IEEE Trans Control Syst Technol. 2020;28(6):2377-2389. https://doi.org/10.1109/TCST.2019.2945904
  16. Nguyen VC, Kim SH. A novel fixed-time prescribed performance sliding mode control for uncertain wheeled mobile robots. Sci Rep. 2025;15(1):5340. https://doi.org/10.1038/s41598-025-89126-6
  17. Sun H, Gao L, Zhao Z, Li B. Adaptive super-twisting fast nonsingular terminal sliding mode control with ESO for high-pressure electro-pneumatic servo valve. Control Eng Pract. 2023;134:105483. https://doi.org/10.1016/j.conengprac.2023.105483
  18. Polyakov A. Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans Autom Control. 2012;57:2106-2110. https://doi.org/10.1109/TAC.2011.2179869
  19. Lai Q, Wang J. Finite and fixed-time synchronization of memristive chaotic systems based on sliding mode reaching law. Acta Phys Sin. 2024;73(18):180503. https://doi.org/10.7498/aps.73.20241013
  20. Lai Q, Wang J, Huang D. Diverse dynamical behaviors and predefined-time synchronization of a simple memristive chaotic system. Acta Phys Sin. 2025;74(20):200501. https://doi.org/10.7498/aps.74.20250954
  21. Lai Q, Wang J, Wang L, Qin M. Fixed-time and predefined-time synchronization of inertial memristive neural networks with proportional delay and mismatched switching jumps via stochastic particle swarm optimization. IEEE/CAA J Autom Sin. 2026;13(6):1274-1287. https://doi.org/10.1109/JAS.2025.126008
  22. Sun Y, Liu J, Gao Y, Liu Z, Zhao Y. Adaptive neural tracking control for manipulators with prescribed performance under input saturation. IEEE/ASME Trans Mechatron. 2022;28(2):1037-1046. https://doi.org/10.1109/TMECH.2022.3213441
  23. Xu N, Wang T, Niu B, Zong G, Zhao X, Song G. Zero-sum game-based dynamic self-triggered sliding mode control for unknown nonlinear systems with asymmetric input constraints. ISA Trans. 2025;168:225-235. https://doi.org/10.1016/j.isatra.2025.11.014
  24. Chu C, He Y. A unified neural event-triggered control approach of high-order switched uncertain systems with time-varying state constraints. Robot Intell Autom. 2026;46(3):290-302. https://doi.org/10.1108/RIA-09-2025-0295
  25. Moulay E, Léchappé V, Bernuau E, Defoort M, Plestan F. Fixed-time sliding mode control with mismatched disturbances. Automatica. 2022;136:110009. https://doi.org/10.1016/j.automatica.2021.110009
  26. Fang X, Cheng R, Cheng S, Fan Y. Nonsingular fixed-time fault-tolerant sliding mode control of robot manipulator with disturbance observer. Int J Control Autom Syst. 2024;22(7):2182-2192. https://doi.org/10.1007/s12555-022-0594-6
  27. Karam ZA, Hassan MY, Humaidi AJ. Unified kinematic-dynamic intelligent formation control via geometric integral sliding mode and IT2 adaptive fuzzy PID controllers for differential-drive mobile robots. Int J Fuzzy Syst. 2026:1-21. https://doi.org/10.1007/s40815-026-02263-6
  28. Karam ZA, Hassan MY, Humaidi AJ. Mobile robot formation control based on adaptive-τ Tustin differentiator for estimation of leader velocity. Int Rev Appl Sci Eng. 2026;17(2):264-278. https://doi.org/10.1556/1848.2026.01262
  29. Qin M, Dian S, Guo B, Tao X, Zhao T. Fractional-order SMC controller for mobile robot trajectory tracking under actuator fault. Syst Sci Control Eng. 2022;10(1):312-324. https://doi.org/10.1080/21642583.2021.2023683
  30. Anjum Z, Chang WJ, Aslam MS, Ullah R. Fixed-time sliding mode control with disturbance observer and variable exponent coefficient for nonlinear systems. Int J Optim Control Theor Appl. 2025;15(4):670. https://doi.org/10.36922/IJOCTA025160085
  31. Ahmed S, Azar AT. Predefined-time fractional-order terminal SMC for robot dynamics. Int J Optim Control Theor Appl. 2025;15(3):426. https://doi.org/10.36922/IJOCTA025060020
  32. Moudoud B, Aissaoui H, Diany M. Finite-time adaptive trajectory tracking control based on sliding mode for Wheeled Mobile Robot. In: 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE; 2021:1148-1153. https://doi.org/10.1109/SSD52085.2021.9429380

 

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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing