Human Arm Stabilization and Rehabilitation using Intelligent Control Techniques

This work presents a study of the planar model of movement performed by a human arm with hemiplegia, being actuated through an electro stimulus, with the aim to reduce the angular error of the same movement using techniques of adaptive control and genetic algorithm-based control and comparing with an Integral Proportional Controller. The verification and validation of the proposed methodology are carried out by using a simulation of a eletrostimulation device compared with a given angle reference, aiming regulation.