Simple optimal tracking control for a class of closed-chain mechanisms in task space

Adolfo Perrusquia, Juan Alejandro Flores-Campos, Wen Yu

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

4 Citas (Scopus)

Resumen

In this work an optimal tracking control in task space for slider-crank mechanisms is presented. To guarantee the tracking task it is required the complete knowledge of mechanism non-linear dynamics for the optimal control design, however the complete dynamics is not always available and linearization methods may lose many information. From the extended dynamic model of parallel robots, it can be seen that a linear system based on the slider dynamics can be obtained without any kind of linearization. This approach avoids the complete knowledge of the mechanism dynamics. Experiments are made to verify and compare the performance of the simplified model with the complete linearized dynamics model using the linear quadratic tracking (LQT) and sliding mode control (SMC).

Idioma originalInglés
Título de la publicación alojada2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728148403
DOI
EstadoPublicada - sep. 2019
Evento16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019 - Mexico City, México
Duración: 11 sep. 201913 sep. 2019

Serie de la publicación

Nombre2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019

Conferencia

Conferencia16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019
País/TerritorioMéxico
CiudadMexico City
Período11/09/1913/09/19

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