Adaptive neural network control for a hydraulic knee exoskeleton with valve deadband and output constraint based on nonlinear disturbance observer
نویسندگان
چکیده
This paper presents a novel disturbance observer-based adaptive neural network control for hydraulic knee exoskeleton with valve deadband and output constraint. Adaptive networks are employed to approximate the unknown nonlinearities of actuator, i.e., unmodeled dynamics caused by leakage. A observer is designed integrated into controller compensate external equivalent interactive force acted on piston rod actuator. Under framwork backstepping technique, both state feedback controllers designed. The velocity estimated via high gain in design. By utilizing barrier Lyapunov function method proposed control, constraints handled semi-globally uniformly boundedness closed-loop system also guaranteed. Comparative simulation results demonstrate tracking performance approach.
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2022
ISSN: ['0925-2312', '1872-8286']
DOI: https://doi.org/10.1016/j.neucom.2021.12.010