Home /Research /A Novel Modified Super-Twisting Control Augmented Feedback Linearization for Wearable Robotic Systems Using Time Delay Estimation
OTHER

A Novel Modified Super-Twisting Control Augmented Feedback Linearization for Wearable Robotic Systems Using Time Delay Estimation

Brahim Brahmi, Ibrahim El Bojairami, Tanvir Ahmed, Asif Al Zubayer Swapnil, Md Assad-Uz-Zaman, Inga Wang, Erin McGonigle, Mohammad Habibur Rahman

Year
2021
Citations
6
Access
Open access

Abstract

The research presents a novel controller designed for robotic systems subject to nonlinear uncertain dynamics and external disturbances. The control scheme is based on the modified super-twisting method, input/output feedback linearization, and time delay approach. In addition, to minimize the chattering phenomenon and ensure fast convergence to the selected sliding surface, a new reaching law has been integrated with the control law. The control scheme aims to provide high performance and enhanced accuracy via limiting the effects brought by the presence of uncertain dynamics. Stability analysis of the closed-loop system was conducted using a powerful Lyapunov function, showing finite time convergence of the system's errors. Lastly, experiments shaping rehabilitation tasks, as performed by healthy subjects, demonstrated the controller's efficiency given its uncertain nonlinear dynamics and the external disturbances involved.

Keywords

Control theory (sociology)Convergence (economics)LinearizationNonlinear systemFeedback linearizationController (irrigation)Lyapunov functionComputer scienceStability (learning theory)Control engineering

Related papers

Browse all OTHER papers