Autonomous driving of truck-trailer mobile robots with linear-fuzzy control for trajectory following

Antonio Moran, Masao Nagai

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

1 Cita (Scopus)

Resumen

The modeling and autonomous control of truck-trailer mobile robots for trajectory following are addressed. The robot kinematical model is analyzed and used for designing a positioning control system based on linear controllers integrated in a fuzzy-logic approach. The design takes into account both positioning performance and jack-knife avoidance. The results of robot positioning control are extended to trajectory following for which a novel strategy is proposed applicable to general shape desired trajectories. The effectiveness of the proposed methods are verified for linear, circular and sinusoidal trajectories where the mobile robot converges to the desired trajectories, avoiding jack-knife positions and with bounded values of input steering angle.

Idioma originalInglés
Título de la publicación alojada2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728169323
DOI
EstadoPublicada - jul. 2020
Evento2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Glasgow, Reino Unido
Duración: 19 jul. 202024 jul. 2020

Serie de la publicación

NombreIEEE International Conference on Fuzzy Systems
Volumen2020-July
ISSN (versión impresa)1098-7584

Conferencia

Conferencia2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020
País/TerritorioReino Unido
CiudadGlasgow
Período19/07/2024/07/20

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