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Sliding Mode-Based Active Disturbance Rejection Control of Assistive Exoskeleton Device for Rehabilitation of Disabled Lower Limbs. | LitMetric

AI Article Synopsis

  • A hybrid control strategy combining active disturbance rejection control (ADRC) and sliding mode control (SMC) is introduced to enhance the tracking performance of lower limb exoskeletons for rehabilitation in individuals with lower limb weakness.
  • The dynamic modeling of lower limb movement is developed, and numerical simulations demonstrate that the proposed controller outperforms traditional ADRC methods based on proportional-derivative control.
  • The results indicate that the sliding mode-based ADRC significantly reduces chattering, offers better rejection capability, faster tracking behavior, and requires less control effort compared to conventional control strategies.

Article Abstract

In this study, a hybrid control strategy is proposed to improve the tracking performance of lower limb exoskeleton system dedicated for rehabilitation the motion of hip and knee limbs in disabled persons. The proposed controller together with exoskeleton device is practically instructive to make exercises for people suffering weakness in their lower limbs. The proposed controller combined both active disturbance rejection control (ADRC) with sliding mode control (SMC) to get their powerful characteristics in terms of rejection capability and robustness characteristics. The dynamic modelling of swinging lower limbs are developed and the controller has been designed accordingly. The numerical simulations have been conducted to validate the effectiveness of proposed controller. A comparison study in performance has been performed between the proposed controller and the traditional controller ADRC based on proportional-derivative controller. The simulated results showed that the proposed controller has better tracking performance than conventional version. In addition, the results showed that the sliding mode-based ADRC can considerably reduce the chattering level and better rejection capability, fast tracking behavior and less control effort.

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Source
http://dx.doi.org/10.1590/0001-3765202320220680DOI Listing

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