Rastegar M, Kobravi HR. A Hybrid-FES Based Control System for Knee Joint Movement Control.
Basic Clin Neurosci 2021;
12:441-452. [PMID:
35154585 PMCID:
PMC8817180 DOI:
10.32598/bcn.2021.173.3]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 04/27/2020] [Accepted: 06/26/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction:
Utilizing Functional Electrical Stimulation (FES) and rehabilitation robots for motion control is an open research problem. In this paper, a new control algorithm has been proposed which was de-signed based on a combination of FES and an active mechanical actuator to control the knee joint movement.
Methods:
An adaptive controller and a Proportional-Derivative (PD) controller have adjusted the motor torque and stimulation intensity, respectively. The FES controller was activated whenever a disturbance observer detected the presence of the external disturbance. In this manner, the occurrence of the muscle fatigue arises from the FES can be postponed.
Results:
The simulation studies were carried out on a model of muscle-joint system along with a model of a servo-motor. The computed RMS of the tracking errors compared to the range of knee motion show that the tracking performance is acceptable. In this research, the trajectories envisioned as the knee joint reference trajectory were designed using the recorded human data.
Conclusion:
The achieved results prove the ability of the proposed control strategy to not only reject the external disturbance but also compensate the muscle fatigue.
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