Control de posición de un robot móvil basado en control PID difuso y filtros adaptativos LMS y RLS

Christian Salamea-Palacios, Diego Zhindón, Luciano Cabrera

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

Resumen

The development of traditional PID control systems requires mathematics to find the optimal tuning constants. In contrast, fuzzy controllers are simpler to use because their implementation is based on inference rules created by an expert. In this work, a PID fuzzy controller and an adaptive filter have been implemented in a children healthy treatment mobile robot prototype to control its position, evaluating different membership functions and the behavior of the adaptive filter against external disturbances. Simulink and Arduino have been used for this purpose by means of serial communication. The robot prototype has been designed using inventor, printed with 3D technology. The most efficient controller has been the PD controller, reaching a stability not achieved by the other controllers. The PD controller has been complemented with an adaptive RLS filter, which in turn was the one that obtained the minimum error compared to the LMS filter.

Título traducido de la contribuciónLocation control of a mobile robot based on fuzzy PID and adaptive filtering LMS and RLS
Idioma originalEspañol
Título de la publicación alojadaProceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtítulo de la publicación alojadaLeadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
EditoresMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520743
EstadoPublicada - 2023
Evento21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina
Duración: 19 jul. 202321 jul. 2023

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2023-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
País/TerritorioArgentina
CiudadBuenos Aires
Período19/07/2321/07/23

Nota bibliográfica

Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Palabras clave

  • Adaptive Filtering
  • Fuzzy Logic
  • LSM
  • PID
  • RLS

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