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Extended State Observer-Based Nonlinear Terminal Sliding Mode Control With Feedforward Compensation for Lower Extremity Exoskeleton

Yi Long, Yajun Peng

2021IEEE Access21 citationsDOIOpen Access PDF

Abstract

This paper presents and experimentally demonstrates an extended state observer (ESO) -based nonlinear terminal sliding mode control strategy with feedforward compensation (ESO-F-NTSMC) for lower extremity exoskeleton. Since the lower extremity exoskeleton (LEE) is a coupled human-exoskeleton coordination system, the internal or external disturbances and uncertainties affect its performance. A nonlinear terminal sliding mode control with feedforward compensation (F-NTSMC) is proposed to drive the lower extremity to shadow the target human gait trajectory. An ESO is employed to estimate the total disturbances including these caused by the chattering phenomenon in F-NTSMC. ESO-F-NTSMC can assure that the human gait trajectory tracking can converge to a bounded region smoothly and robustly. The phase identification-based human gait generation approach is also presented. The derivation process of the ESO-F-NTSMC is shown the and the Lyapunov-based stability analysis is conducted. To illustrate the proposed method’s effectiveness, experiments are performed on three human subjects walking on the floor at a natural speed. The results demonstrate that the exoskeleton can actively collaborate with the user under the proposed method.

Topics & Concepts

Control theory (sociology)ExoskeletonFeed forwardNonlinear systemSliding mode controlComputer scienceCompensation (psychology)Terminal (telecommunication)State observerTerminal sliding modeFeedforward neural networkControl (management)Control engineeringEngineeringSimulationArtificial intelligenceArtificial neural networkPhysicsTelecommunicationsPsychologyQuantum mechanicsPsychoanalysisProsthetics and Rehabilitation RoboticsMuscle activation and electromyography studiesStroke Rehabilitation and Recovery