Real-Time Model Reference Adaptive Fuzzy Control of a 3DOF Robot Arm

Hubert Ventura-Hinostroza, Arturo Rojas-Moreno

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This work implements a MIMO (Multiple Input Multiple Output) MRAFC (Model Reference Adaptive Fuzzy Controller) to control the angular positions of an articulated 3DOF (3 Degrees of Freedom) robot arm. The structure of the MRAFC is represented by the Takagy-Sugeno fuzzy model. In this work, such a structure is enhanced via experimentation in order to fulfil the established design specification. The adaptive character of the MRAFC is necessary to overcome the parameter uncertainty of the modelling. Part of the design of the MRAFC requires the linearized state-space representation of the MIMO nonlinear model of the robot arm. Experimental results demonstrate that the implemented MRAFC is able to achieve the following desired design specifications for each degree of freedom: A settling time less than 2 s,a steady-state error close to null, and a P.O. (Percent Overshoot) around 2 %.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728193779
DOI
EstadoPublicada - set. 2020
Evento27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Perú
Duración: 3 set. 20205 set. 2020

Serie de la publicación

NombreProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

Conferencia

Conferencia27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
País/TerritorioPerú
CiudadVirtual, Lima
Período3/09/205/09/20

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