Nonlinear Identification and Position Control of a Pneumatic System

Víctor Huilcapi; Ricardo Cajo; Jorge Orellana; Alex Cascante

doi:10.1007/978-3-031-24327-1_11

Nonlinear Identification and Position Control of a Pneumatic System

Víctor Huilcapi, Ricardo Cajo, Jorge Orellana, Alex Cascante

Grupo de Investigación en Sistemas de Control y Robótica (GISCOR)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

In this work a pneumatic positioning system is studied. The system presents high nonlinearities since it is subjected to static friction, dead bands, and dead times. Firstly, the system identification is done using nonlinear identification based on the Hammerstein-Wiener model. Then, some control strategies such as Proportional-Integral-Derivative (PID) controller, Fuzzy-PID controller and Model Predictive Control (MPC) are designed to handle these nonlinearities. The main goal is to control the displacement of the pneumatic cylinder to reach any position or trajectory tracking in the shortest possible time and with the least steady state error. The results show that the Hammerstein-Wiener model identified for the system satisfactorily characterizes its nonlinear dynamics. The MPC is more efficient to control the system compared to the other controllers as it has less steady state error and stabilizes the system faster.

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	127-138
Número de páginas	12
ISBN (versión impresa)	9783031243264
DOI	https://doi.org/10.1007/978-3-031-24327-1_11
Estado	Publicada - 2023
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.

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10.1007/978-3-031-24327-1_11

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Huilcapi, V., Cajo, R., Orellana, J., & Cascante, A. (2023). Nonlinear Identification and Position Control of a Pneumatic System. En V. Robles-Bykbaev, J. Mula, & G. Reynoso-Meza (Eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022 (pp. 127-138). (Lecture Notes in Networks and Systems; Vol. 607 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24327-1_11

Huilcapi, Víctor ; Cajo, Ricardo ; Orellana, Jorge et al. / Nonlinear Identification and Position Control of a Pneumatic System. Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. editor / Vladimir Robles-Bykbaev ; Josefa Mula ; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. pp. 127-138 (Lecture Notes in Networks and Systems).

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title = "Nonlinear Identification and Position Control of a Pneumatic System",

abstract = "In this work a pneumatic positioning system is studied. The system presents high nonlinearities since it is subjected to static friction, dead bands, and dead times. Firstly, the system identification is done using nonlinear identification based on the Hammerstein-Wiener model. Then, some control strategies such as Proportional-Integral-Derivative (PID) controller, Fuzzy-PID controller and Model Predictive Control (MPC) are designed to handle these nonlinearities. The main goal is to control the displacement of the pneumatic cylinder to reach any position or trajectory tracking in the shortest possible time and with the least steady state error. The results show that the Hammerstein-Wiener model identified for the system satisfactorily characterizes its nonlinear dynamics. The MPC is more efficient to control the system compared to the other controllers as it has less steady state error and stabilizes the system faster.",

keywords = "Fuzzy-PID, Model Predictive Control (MPC), Nonlinear Identification, PID, Pneumatic system",

author = "V{\'i}ctor Huilcapi and Ricardo Cajo and Jorge Orellana and Alex Cascante",

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Huilcapi, V, Cajo, R, Orellana, J & Cascante, A 2023, Nonlinear Identification and Position Control of a Pneumatic System. En V Robles-Bykbaev, J Mula & G Reynoso-Meza (eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Lecture Notes in Networks and Systems, vol. 607 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 127-138, 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022, Guayaquil, Ecuador, 22/06/22. https://doi.org/10.1007/978-3-031-24327-1_11

Nonlinear Identification and Position Control of a Pneumatic System. / Huilcapi, Víctor; Cajo, Ricardo; Orellana, Jorge et al.
Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. ed. / Vladimir Robles-Bykbaev; Josefa Mula; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. p. 127-138 (Lecture Notes in Networks and Systems; Vol. 607 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Nonlinear Identification and Position Control of a Pneumatic System

AU - Huilcapi, Víctor

AU - Cajo, Ricardo

AU - Orellana, Jorge

AU - Cascante, Alex

PY - 2023

Y1 - 2023

N2 - In this work a pneumatic positioning system is studied. The system presents high nonlinearities since it is subjected to static friction, dead bands, and dead times. Firstly, the system identification is done using nonlinear identification based on the Hammerstein-Wiener model. Then, some control strategies such as Proportional-Integral-Derivative (PID) controller, Fuzzy-PID controller and Model Predictive Control (MPC) are designed to handle these nonlinearities. The main goal is to control the displacement of the pneumatic cylinder to reach any position or trajectory tracking in the shortest possible time and with the least steady state error. The results show that the Hammerstein-Wiener model identified for the system satisfactorily characterizes its nonlinear dynamics. The MPC is more efficient to control the system compared to the other controllers as it has less steady state error and stabilizes the system faster.

AB - In this work a pneumatic positioning system is studied. The system presents high nonlinearities since it is subjected to static friction, dead bands, and dead times. Firstly, the system identification is done using nonlinear identification based on the Hammerstein-Wiener model. Then, some control strategies such as Proportional-Integral-Derivative (PID) controller, Fuzzy-PID controller and Model Predictive Control (MPC) are designed to handle these nonlinearities. The main goal is to control the displacement of the pneumatic cylinder to reach any position or trajectory tracking in the shortest possible time and with the least steady state error. The results show that the Hammerstein-Wiener model identified for the system satisfactorily characterizes its nonlinear dynamics. The MPC is more efficient to control the system compared to the other controllers as it has less steady state error and stabilizes the system faster.

KW - Fuzzy-PID

KW - Model Predictive Control (MPC)

KW - Nonlinear Identification

KW - PID

KW - Pneumatic system

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A2 - Robles-Bykbaev, Vladimir

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Huilcapi V, Cajo R, Orellana J, Cascante A. Nonlinear Identification and Position Control of a Pneumatic System. En Robles-Bykbaev V, Mula J, Reynoso-Meza G, editores, Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 127-138. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-24327-1_11

Nonlinear Identification and Position Control of a Pneumatic System

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