Saturday , May 18 2024

An Improved IEHO Super-Twisting Sliding Mode Control Algorithm for Trajectory Tracking
of a Mobile Robot

Ahmed OULTILIGH1*, Hassan AYAD1, Abdeljalil EL KARI1, Mostafa MJAHED2, Nada EL GMILI3,
Ernő HORVÁTH4, Claudiu POZNA5

1 Applied Physics Department, Cadi Ayyad University, Marrakesh 40000, Morocco
a.oultiligh@gmail.com (*Corresponding author), ayad.ha@gmail.com, jalil.elkari@gmail.com
2 Mathematics and Systems Department, Royal School of Aeronautics, Marrakesh 40000, Morocco
mjahed.mostafa@gmail.com
3 Electrical Engineering Department, University of Hassan II, Mohammedia 28806, Morocco
elgmilinada@gmail.com
4 Vehicle Industry Research Center, Széchenyi István University of Győr, 1 Egyetem, Győr, Hungary
herno@ga.sze.hu
5 Department of Automation, Transilvania University of Brasov, 29 Eroilor Boulevard, Brasov, Romania
claudiu.radu63@gmail.com

Abstract: In recent years, trajectory tracking of a mobile robot has been one of the most addressed problems in the specialized literature, as a mobile robot must have the ability to follow a trajectory, while also compensating various external and internal disturbances. This paper proposes an IEHO-STSM controller based on the super-twisting sliding mode for the path tracking of a mobile robot. First, a new improved IEHO algorithm has been developed and introduced, based on the EHO (Elephant Herding Optimization) metaheuristic algorithm. The developed algorithm consisted in improving the performance of the basic EHO such as convergence speed, exploration and exploitation capabilities. Then, based on a dynamic model of the mobile robot, a super-twisting sliding mode (STSM) controller was designed to guide the robot to the desired trajectory. Finally, the improved IEHO algorithm was applied for adjusting the parameters of the super-twisting sliding mode (STSM) controller. The analysis of the proposed IEHO algorithm has been done by comparing it with EHO, PSO (Particle Swarm Optimization) and GWO (Grey Wolf Optimizer) algorithms, by employing it in tuning the STSM. The simulation results show that the proposed IEHO-STSM can reach both high precision and high speed capability, by overcoming external and internal disturbances.

Keywords: EHO, GWO, IEHO, PSO, Sliding mode, Super twisting, IEHO-STSM.

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CITE THIS PAPER AS:
Ahmed OULTILIGH, Hassan AYAD, Abdeljalil EL KARI, Mostafa MJAHED, Nada EL GMILI, Ernő HORVÁTH, Claudiu POZNA, An Improved IEHO Super-Twisting Sliding Mode Control Algorithm for Trajectory Tracking of a Mobile Robot, Studies in Informatics and Control, ISSN 1220-1766, vol. 33(1), pp. 49-60, 2024. https://doi.org/10.24846/v33i1y202405