NED University Journal of Research
ISSN 2304-716X
E-ISSN 2706-5758




IMPLEMENTATION AND VALIDATION OF A PID-CONTROLLED MASTER-SLAVE EXOSKELETON ARM FOR PRECISION ELBOW REHABILITATION

Author(s): Muhammad Zulhilmi Hussin1, Jamaludin Jalani2, Wan Ahmad Khairuddin Wan Zakaria3, Amirul Syafiq Saadun4
1Researcher, Department of Electronic, Faculty of Electrical and Electronic Engineering, UTHM, 86400, Batu Pahat, Johor, Malaysia, +60167779004, Email: he240049@student.uthm.edu.my

2Associate Professor, Department of Electronic, Faculty of Electrical and Electronic Engineering, UTHM, 86400, Batu Pahat, Johor, Malaysia, +60167779004, Email: jamalj@uthm.edu.my

3Researcher, Department of Electronic, Faculty of Electrical and Electronic Engineering, UTHM, 86400, Batu Pahat, Johor, Malaysia, +60167779004, Email: he240024@student.uthm.edu.my

4Associate Professor, Department of Electrical Engineering, Faculty of Engineering Technology, UTHM, Hab Pendidikan Tinggi Pagoh KM 1, Jalan Panchor 84600 Panchor, Johor, Malaysia, +601116602509, Email: amirul@uthm.edu.my

https://doi.org/10.35453/NEDJR-Icon3E2025-006-R1

Volume: 23

No. Special issue on Icon3E'25

Pages: 274-287

Date: August 2026

Publication Type: Open-Access Publication

Abstract:
Weakness in the arm after a stroke often makes everyday tasks hard to manage. Because robotic sleeves can guide repeated motions, they may help regain movement over time. A new approach is presented in which one limb takes charge and the second follows, tied together by a digital twin that adjusts motion with rapid response control. Instead of operating independently, the stronger side sets the movement while the weaker side copies it, with real-time corrections. Trials were conducted twice—first in simulation, then again on physical hardware to repeat the test. In the open-loop condition, the tracking error was substantial, reaching a maximum deviation of 76%. Once PID control was introduced, the error was reduced to thirteen digits calm Overshoot was also reduced, to approximately four or five percent. The system settled more quickly, with improved response. Building models in MATLAB Simulink demonstrated the feasibility of the system, with each component controlling the elbow joint smoothly. Tuning the controller parameters ensured that motion remained fluid across repeated trials. This kind of linked robotic arm, with a leader guiding a follower, might support long-term rehabilitation at home or in remote clinics. In future work, researchers plan to integrate more advanced control strategies and evaluate their real-world impact on people recovering from stroke.

Keywords:
exoskeleton arm, elbow rehabilitation, PID control, bilateral training, master-slave system, MATLAB Simulink, stroke therapy

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