Alvarez Picaza Carlos¹*, Veglia, Julian Ignacio¹, Ferrari Claudio Raúl² and Portillo, Ricardo Luis¹

¹Faculty of Exact Sciences – UNNE, Argentina
²Faculty of Medicine - UNNE, Argentina

*Corresponding Author: Alvarez Picaza Carlos, Faculty of Exact Sciences – UNNE, Argentina.

Received: December 22, 2022; Published: September 29, 2023

Abstract

Any mechanical, electrical or physical system, can be described by state equations, which contain all the information of its internal dynamics. In this paper, we present a basic model for understanding the State Function associated with a DC motor intended to drive a myoelectric prosthesis, which could be analyzed in the event of a specific physical impediment of the upper limb. The aim is to find the natural and forced manner of the servo system, treating it from automatic control point of view, obtaining state by state, the response of the system based on the Controllability concept. Modern Control Theory and its tools such as the transfer function, the state space and the bio-mechanical dynamics among others, it will be sought to determine the situation of the variables that will lead to a better performance of the prosthesis. The use of analogous models of the servo system, allow us to know the evolution of the function that guide the response of the system for a given input and a set of given initial conditions. In addition, the graphs in the state space will be new parametric indicators to keep in mind. The results achieved indicate that the use of this analysis developed in this paper collaborates with the understanding of the functionality of the prosthesis driver.

 Keywords: Modeling; State Function; Controllability

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Citation

Citation: Alvarez Picaza Carlos., et al. “TFunctional Response of Biomechanical Prostheses. Controllability Criteria of their Inner Variables”.Acta Scientific Medical Sciences 7.10 (2023): 53-59.

Copyright

Copyright: © 2023 Alvarez Picaza Carlos., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.