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Position and Motor Control of a 3-DoF RRR Robotic Manipulator Using PID and Sliding Mode Control
Abstract
This study investigates the position and motor control of a 3-degree-of-freedom (3-DoF) RRR robotic manipulator. The research focuses on developing and comparing two control strategies: Proportional-Integral-Derivative (PID) control and Sliding Mode Control (SMC). Kinematic modeling of the manipulator is performed using Denavit-Hartenberg parameters, while dynamic modeling is achieved through the Lagrangian ormulation. The effectiveness of both control methods is evaluated through simulations conducted in MATLAB/Simulink, with a focus on assessing their stability and error performance. Results indicate that the PID tuning process significantly improves the manipulator's dynamic characteristics, leading to enhanced stability, reduced overshoot, and reliable reference tracking. Furthermore, the implementation of SMC demonstrates considerable efficacy in managing system uncertainties and attenuating disturbances, ensuring stable and precise control of the robotic system even under challenging conditions. This research validates the robustness and precision offered by these control methodologies for robotic manipulator applications.
Keywords
Ethical Statement
This study did not involve any human or animal experiments, and no applications requiring ethics committee approval were conducted. All data, methods, and findings used in the research were obtained and presented in accordance with scientific ethical principles. No plagiarism, fabrication, falsification, duplicate publication, salami slicing, or unfair authorship practices were employed in the preparation of this study.
The author(s) declare that they fully complied with the Principles of Research Ethics and the Higher Education Institutions Scientific Research and Publication Ethics Directive during the preparation and submission of this manuscript.
References
- [1] Z. Kuang, X. Zhang, L. Sun, H. Gao, and M. Tomizuka, “Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DoF Industrial Manipulators,” arXiv (Cornell University), Jan. 2021, doi: 10.48550/arxiv.2102.03531.
- [2] K. Jayaswal, D. K. Palwalia, and S. Kumar, “Performance investigation of PID controller in trajectory control of two-link robotic manipulator in medical robots,” Journal of Interdisciplinary Mathematics, vol. 24, no. 2, p. 467, Feb. 2021, doi: 10.1080/09720502.2021.1893444.
- [3] G. Sherif, S. Ahmad, M. Saad, and G. Fayez, “Dynamic Modelling with a Modified PID Controller of a Three Link Rigid Manipulator,” International Journal of Computer Applications, vol. 179, no. 34, p. 37, Apr. 2018, doi: 10.5120/ijca2018916772.
- [4] S. Hasan, “A Realistic Model Reference Computed Torque Control Strategy for Human Lower Limb Exoskeletons,” arXiv (Cornell University), Sep. 2024, doi: 10.48550/arxiv.2410.07200.
- [5] C. Ma and Z. Zhang, “Predictive reinforcement learning based adaptive PID controller,” 2025, doi: 10.48550/ARXIV.2506.08509.
- [6] V. T. Aghaei, A. Seyyedabbasi, J. Rasheed, and A. M. Abu‐Mahfouz, “Sand cat swarm optimization-based feedback controller design for nonlinear systems,” Heliyon, vol. 9, no. 3, Feb. 2023, doi: 10.1016/j.heliyon.2023.e13885.
- [7] J. Shanbhag et al., “Methods for integrating postural control into biomechanical human simulations: a systematic review,” Journal of NeuroEngineering and Rehabilitation, vol. 20, no. 1. BioMed Central, Aug. 21, 2023. doi: 10.1186/s12984-023-01235-3.
- [8] A. Ashoori, B. Moshiri, A. K. Sedigh, and M. Bakhtiari, “Optimal control of a nonlinear fed-batch fermentation process using model predictive approach,” Journal of Process Control, vol. 19, no. 7, p. 1162, Apr. 2009, doi: 10.1016/j.jprocont.2009.03.006.
Details
Primary Language
English
Subjects
Machine Theory and Dynamics , Mechanical Engineering (Other)
Journal Section
Research Article
Publication Date
December 30, 2025
Submission Date
August 20, 2025
Acceptance Date
December 15, 2025
Published in Issue
Year 1970 Volume: 16 Number: 4