Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 10; p. 3747
• Main Authors: Ahmed, Tanvir, Islam, Md Rasedul, Brahmi, Brahim, Rahman, Mohammad Habibur
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14.05.2022; MDPI
• Subjects: Adult; Comparative analysis; Control algorithms; Design; Exoskeleton Device; exoskeleton robot; Experiments; Human subjects; Humans; Kinematics; Motion; passive rehabilitation exercise; Patients; Performance evaluation; PID motion control; Range of motion; Rehabilitation; Robotics; Robots; Sensors; Sports injuries; Stroke; trajectory tracking; Upper Extremity; upper limb rehabilitation; passive rehabilitation exercise; upper limb rehabilitation; PID motion control; exoskeleton robot; trajectory tracking
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22103747

Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people suffer a stroke worldwide. We have developed a 7 degrees of freedom (DoF) exoskeleton robot named the smart robotic exoskeleton (SREx) to provide upper limb rehabilitation therapy. The robot is designed for adults and has an extended range of motion compared to our previously designed ETS-MARSE robot. While providing rehabilitation therapy, the exoskeleton robot is always subject to random disturbance. Moreover, these types of robots manage various patients and different degrees of impairment, which are quite impossible to model and incorporate into the robot dynamics. We hypothesize that a model-independent controller, such as a PID controller, is most suitable for maneuvering a therapeutic exoskeleton robot to provide rehabilitation therapy. This research implemented a model-free proportional–integral–derivative (PID) controller to maneuver a complex 7 DoF anthropomorphic exoskeleton robot (i.e., SREx) to provide a wide variety of upper limb exercises to the different subjects. The robustness and trajectory tracking performance of the PID controller was evaluated with experiments. The results show that a PID controller can effectively control a highly nonlinear and complex exoskeleton-type robot.