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Nonlinear Identification and Position Control of a Pneumatic System

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Intelligent Technologies: Design and Applications for Society (CITIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 607))

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.

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Author information

Authors and Affiliations

  1. Universidad Politécnica Salesiana, Guayaquil, Ecuador

    Víctor Huilcapi, Jorge Orellana & Alex Cascante

  2. Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O.Box 09-01-5863, Guayaquil, Ecuador

    Ricardo Cajo

Authors
  1. Víctor Huilcapi
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  2. Ricardo Cajo
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  3. Jorge Orellana
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  4. Alex Cascante
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Corresponding author

Correspondence to Víctor Huilcapi .

Editor information

Editors and Affiliations

  1. Campus El Vecino, Universidad Politécnica Salesiana, Cuenca, Ecuador

    Vladimir Robles-Bykbaev

  2. Research Centre on Production Management and Engineering - CIGIP, Universitat Politècnica de València, Alcoy, Spain

    Josefa Mula

  3. Rua Imaculada Conceiçao, Pontifícia Universidade Católica do Paraná – PUCPR, Curitiba, Brazil

    Gilberto Reynoso-Meza

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Huilcapi, V., Cajo, R., Orellana, J., Cascante, A. (2023). Nonlinear Identification and Position Control of a Pneumatic System. In: Robles-Bykbaev, V., Mula, J., Reynoso-Meza, G. (eds) Intelligent Technologies: Design and Applications for Society. CITIS 2022. Lecture Notes in Networks and Systems, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-031-24327-1_11

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