Alvarez Picaza C¹*, Veglia JI¹, Piacenza AE² and Ferrari CR²

¹Faculty of Exact Sciences - Universidad Nacional del Nordeste, Argentina
²Faculty of Medicine - National University of the Northeast, Argentina

*Corresponding Author: Alvarez Picaza C, Faculty of Exact Sciences - Universidad Nacional del Nordeste, Argentina.

Received: October 25, 2021; Published: March 14, 2022

Abstract

Engineering's involvement in the sciences that affects people's lives has generated relatively new disciplines. Rehabilitation is the biomedical area with the greatest impact. This work seeks to represent the solution of the equation of state of the dynamics that interfere with each of the variables that contribute to the stable functioning of a motor plant that is used in myoelectric prostheses. The contribution of each one of them must contribute to the global stability of the dynamic system. Through Modern Control Theory, it is possible to face any problematic situation using state equations without considering mathematical rules used for recursive algorithms. When working in the state space using control tools, it is possible access to developments and analyzes that complement those carried out in the space of time and frequency. The simplification of the different developments will be reflected with new findings, giving value to new concepts such as the transition matrix and controllability. The quantization of some properties to perform the required movements is necessary for the manipulation of the control signal function to be implemented. The results obtained allowed us to discern and graph the trajectories in the state space of the intervening variables.

Keywords: Modelling; States; Control; Tmatrix

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Citation

Citation: Alvarez Picaza C., et al. “State Function of the Dynamic Drive System of Servo Systems Used in Myoelectric Prostheses”.Acta Scientific Medical Sciences 6.4 (2022): 73-78.

Copyright

Copyright: © 2022 Alvarez Picaza C., 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.