Adaptive PID control; Drop-foot; Functional electrical stimulation; Muscle fatigue; Self-tuning gain; Adaptive proportional–integral–derivative control; Control strategies; Drop feet; Functional electri-cal stimulations; Muscle fatigues; Proportional integral derivative control; Proportional-integral-derivatives controllers; Selftuning; Tuning gain; Control and Systems Engineering; Computer Science Applications; Electrical and Electronic Engineering; Applied Mathematics
Résumé :
[en] A robust, adaptive proportional–integral–derivative (PID) control strategy is presented for controlling ankle movement using a functional electrical stimulation (FES) neuroprosthesis. The presented control strategy leverages the structurally simple PID controller. Moreover, the proposed PID controller automatically tunes its gains without requiring prior knowledge of the musculoskeletal system. Thus, in contrast to previously proposed control strategies for FES, the proposed controller does not necessitate time-consuming model identification for each patient. Additionally, the computational cost of the controller is minimized by linking the PID gains and updating only the common gain. As a result, a model-free, structurally simple, and computationally inexpensive controller is achieved, making it suitable for wearable FES-based neuroprostheses. A Lyapunov stability analysis proves uniformly ultimately bounded (UUB) tracking of the joint angle. Results from the simulated and experimental trials indicate that the proposed PID controller demonstrates high tracking accuracy and fast convergence.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
Tanhaei, Ghazal; Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
HABIBI, Hamed ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
Holderbaum, William; School of Biological Sciences, Biomedical Engineering, University of Reading, Reading, United Kingdom
Ansari, Noureddin Nakhostin; Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran ; Research Center for War-affected People, Tehran University of Medical Sciences, Tehran, Iran ; Department of Physiotherapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Robust adaptive PID control of functional electrical stimulation for drop-foot correction
The authors would like to express their gratitude to the Djavad Mowafaghian Research Center for Intelligent Neuro-Rehabilitation Technologies for their invaluable support and resources, which made this research possible. This work was supported by the Iran's Organization for Development of International Cooperation in Science and Technology.
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