Education, Science, Technology, Innovation and Life
Open Access
Sign In

Model-Based Compensation for Sliding Mode Trajectory Tracking Control of Remote Operated Vehicle

Download as PDF

DOI: 10.23977/autml.2025.060120 | Downloads: 6 | Views: 80

Author(s)

Juncheng Zhao 1, Xiaoming Xia 1, Luoluo Li 2

Affiliation(s)

1 School of Ocean Engineering, Jiangsu Ocean University, Lianyungang, Jiangsu, China
2 Makarov College of Marine Engineering, Jiangsu Ocean University, Lianyungang, Jiangsu, China

Corresponding Author

Juncheng Zhao

ABSTRACT

To address the issues of accuracy degradation and insufficient disturbance rejection capabilities faced by underwater robots during trajectory tracking, this paper proposes a sliding mode control method based on model compensation. The method constructs a sliding surface and introduces state error and its dynamic characteristics to design a controller that includes reference velocity and acceleration compensation terms. Using the Lyapunov stability theory, the global asymptotic stability of the closed-loop system was proven. Simulation results show that the proposed method ensures rapid convergence of the trajectory tracking error while demonstrating good robustness and interference resistance, providing an effective means for precise control of underwater robots in complex environments.

KEYWORDS

Remote Operated Vehicle, Model Compensation, Sliding Mode Control, Trajectory Tracking

CITE THIS PAPER

Juncheng Zhao, Xiaoming Xia, Luoluo Li, Model-Based Compensation for Sliding Mode Trajectory Tracking Control of Remote Operated Vehicle. Automation and Machine Learning (2025) Vol. 6: 181-190. DOI: http://dx.doi.org/10.23977/autml.2025.060120.

REFERENCES

[1] Bogue R. Underwater robots: a review of technologies and applications[J]. Industrial Robot: An International Journal, 2015, 42(3): 186-191.
[2] Yuh J. Design and control of autonomous underwater robots: A survey[J]. Autonomous Robots, 2000, 8(1): 7-24.
[3] S. Heshmati-Alamdari, A. Nikou and D. V. Dimarogonas, "Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles in Uncertain Environments," in IEEE Transactions on Automation Science and Engineering, vol. 18, no. 3, pp. 1288-1301, July 2021.
[4] Huang B, Yang Q. Double-loop sliding mode controller with a novel switching term for the trajectory tracking of work-class ROVs[J]. Ocean Engineering, 2019, 178: 80-94.
[5] Jiang Y, Zhang Q, Hu Y. Fault-tolerant trajectory tracking control of underwater salvage robots based on super-twisting sliding mode[J]. Ocean Engineering, 2024, 312: 119340.
[6] Shao K, Zheng J, Yang C, et al. Chattering-free adaptive sliding-mode control of nonlinear systems with unknown disturbances[J]. Computers & Electrical Engineering, 2021, 96: 107538. 
[7] L. Qiao and W. Zhang, "Trajectory Tracking Control of AUVs via Adaptive Fast Nonsingular Integral Terminal Sliding Mode Control," in IEEE Transactions on Industrial Informatics, vol. 16, no. 2, pp. 1248-1258, Feb. 2020
[8] Xu J, Wang M, Qiao L. Dynamical sliding mode control for the trajectory tracking of underactuated unmanned underwater vehicles[J]. Ocean engineering, 2015, 105: 54-63.
[9] M. U. Khalid, M. Ahsan, O. Kamal and U. Najeeb, "Modeling and Trajectory Tracking of Remotely Operated Underwater Vehicle using Higher Order Sliding Mode Control,"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2019, pp. 855-860.
[10] Qiao L, Zhang W. Adaptive second-order fast nonsingular terminal sliding mode tracking control for fully actuated autonomous underwater vehicles[J]. IEEE Journal of Oceanic Engineering, 2018, 44(2): 363-385.
[11] J. Yuh, "Modeling and control of underwater robotic vehicles," in IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, no. 6, pp. 1475-1483, Nov.-Dec. 1990.
[12] Christensen L, de Gea Fernández J, Hildebrandt M, et al. Recent advances in ai for navigation and control of underwater robots[J]. Current Robotics Reports, 2022, 3(4): 165-175.

Downloads: 3947
Visits: 184270

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.