2026-04-17T16:45:08Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75542024-05-14T11:18:48Zcom_10259_6155com_10259_4266com_10259.4_106com_10259_2604col_10259_6156
Sánchez-Martínez, Roberto
d781f97b-4111-4805-b275-28b75a7f57ce
600
Sierra Garcia, Jesús Enrique
737
600
0000-0001-6088-9954
Santos, Matilde
790ace78-fee9-4e05-8ae8-e2a68272e56b
600
2023-03-17T13:09:09Z
2023-03-17T13:09:09Z
2022-12
http://hdl.handle.net/10259/7554
10.3390/math10244783
2227-7390
Automatic guidance vehicles (AGV) are industrial vehicles that play an important role in
the development of smart manufacturing systems and Industry 4.0. To provide these autonomous
systems with the flexibility that is required today in these industrial workspaces, AGV computational
models are necessary in order to analyze their performance and design efficient planning and control
strategies. To address these issues, in this work, the mathematical model and the algorithm that
implement a computational control-oriented simulation model of a hybrid tricycle-differential AGV
with multi-trailers have been developed. Physical factors, such as wheel-ground interaction and the
effect of vertical and lateral loads on its dynamics, have been incorporated into the model. The model
has been tested in simulation with two different controllers and three trajectories: a circumference,
a square, and an s-shaped curve. Furthermore, it has been used to analyze extreme situations of
slipping and capsizing and the influence of the number of trailers on the tracking error and the
control effort. This way, the minimum lateral friction coefficient to avoid slipping and the minimum
ratio between the lateral and height displacement of the center of gravity to avoid capsizing have
been obtained. In addition, the effect of a change in the friction coefficient has also been simulated.
application/pdf
eng
MDPI
Mathematics. 2022, V. 10, n. 24, 4783
https://doi.org/10.3390/math10244783
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Mathematical modelling
Iterative algorithm
Autonomous vehicle
AGV
Multi-trailers
Simulation
Control
Industry 4.0
Electrotecnia
Electrical engineering
Performance and Extreme Conditions Analysis Based on Iterative Modelling Algorithm for Multi-Trailer AGVs
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Mathematics
10
24
THUMBNAIL
Sanchez-mathematics_2022.pdf.jpg
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LICENSE
license.txt
license.txt
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https://riubu.ubu.es/bitstream/10259/7554/3/license.txt
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ORIGINAL
Sanchez-mathematics_2022.pdf
Sanchez-mathematics_2022.pdf
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10259/7554
oai:riubu.ubu.es:10259/7554
2024-05-14 13:18:48.89
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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