Resumen
A line follower robot is a classic prototype in automatic control learning and quite applicable in the industry for example in cargo transport, the common control strategy in this type of device is a PD linear controller since it produces a fairly stable response and also for its ease of tuning. The current work presents the design, analysis and implementation of a nonlinear fuzzy control strategy, which generates several operational benefits compared to PD control. For the analysis, the responses of the two types of controllers are compared through simulation algorithms and experimental tests, where parameters such as the response time or the effort in the system actuators are evaluated. In general, the fuzzy controller non-linearity generates some confidence when choosing a control tool for this type of device. Finally, a speed control strategy easily adaptable to the fuzzy position controller is presented in such a way that the travel time is further optimized.
Idioma original | Inglés |
---|---|
Título de la publicación alojada | Intelligent Technologies |
Subtítulo de la publicación alojada | Design and Applications for Society - Proceedings of CITIS 2022 |
Editores | Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 58-71 |
Número de páginas | 14 |
ISBN (versión impresa) | 9783031243264 |
DOI | |
Estado | Publicada - 2023 |
Publicado de forma externa | Sí |
Evento | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duración: 22 jun. 2022 → 24 jun. 2022 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
---|---|
Volumen | 607 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 |
---|---|
País/Territorio | Ecuador |
Ciudad | Guayaquil |
Período | 22/06/22 → 24/06/22 |
Nota bibliográfica
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.