z-logo
open-access-imgOpen Access
Estabilidad para un control borroso en modo deslizante aplicado a un robot paralelo neumático
Author(s) -
Pablo J. Prieto,
Nohé R. Cázarez-Castro,
Dianelis García,
Selene L. Cardenas-Maciel
Publication year - 2015
Publication title -
revista iberoamericana de automática e informática industrial riai
Language(s) - Spanish
Resource type - Journals
SCImago Journal Rank - 0.27
H-Index - 16
eISSN - 1697-7920
pISSN - 1697-7912
DOI - 10.1016/j.riai.2015.09.008
Subject(s) - control theory (sociology) , controller (irrigation) , computer science , lyapunov function , physics , mathematics , control (management) , nonlinear system , artificial intelligence , agronomy , biology , quantum mechanics
Resumen: Se presenta un controlador borroso tipo Mamdani basado en técnicas en modo deslizante para el posicionamiento de un robot paralelo neumático de dos grados de libertad (2 GDL). Es probado que el sistema es asintóticamente estable en el sentido de Lyapunov y se presentan resultados numéricos y experimentales. Ma's aún, el controlador diseñado puede ser aplicado en control de trayectoria al ser retroalimentadas la velocidad y la aceleración del sistema. Se presentan adema's resultados satisfactorios obtenidos en forma experimental para el caso de seguimiento de trayectoria. Abstract: In this paper is reported a Mamdani type fuzzy controller based on sliding mode techniques applied to the regulation of a 2 DOF pneumatic parallel robot. Is is proved that the system is stable in Lyapunov sense, and numerical and experimental results are reported. Moreover, the designed controller can be applied to tracking control if speed and acceleration from the system are feedbacked. Also are reported satisfactory experimental results for the tracking case. Palabras clave: Control borroso, Control de robot, Estabilidad de Lyapunov, Modos deslizantes., Keywords: Fuzzy control, Robot control, Lyapunov stability, Sliding mode

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom