An Optimal PID Controller for Artificial Knee Exoskeleton Devices

One may experience knee problems due to several issues, such as arthritic conditions being overweight, strokes, post-polio conditions, ligament damage, or mishaps. To assist in mobility, artificial knee devices are frequently used. In this study, an optimal proportional integral derivative (PID) is...

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Bibliographic Details
Published inDevices for Integrated Circuit pp. 719 - 722
Main Authors Acharya, Debasis, Roy, Sumit, Debnath, Bikash, Das, Jadav Chandra
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.04.2025
Subjects
Exoskeletons
Integrated circuit modeling
Knee exoskeleton devices
Ligaments
Metaheuristics
Neural networks
Optimization method
Optimization methods
Particle swarm optimization
Performance evaluation
PID controller
Simulation
Trajectory
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Summary:One may experience knee problems due to several issues, such as arthritic conditions being overweight, strokes, post-polio conditions, ligament damage, or mishaps. To assist in mobility, artificial knee devices are frequently used. In this study, an optimal proportional integral derivative (PID) is proposed with the aim of achieving precise control over the angular movements of these devices. Furthermore, the proposed controller for knee exoskeleton systems is effectively tuned using a well-known metaheuristic algorithm named particle swarm optimizer (PSO). The simulation results demonstrate that PSO-PID controller significantly outperformed traditional algorithms in the area of control performance when employed with the knee exoskeleton systems.
ISSN:2996-3044
DOI:10.1109/DevIC63749.2025.11012404