Sistema borroso para el soporte de la envolvente de velocidad de una aeronave

  1. Plaza Alonso, Elías 1
  2. Santos, Matilde 2
  3. Sierra García, Jesús Enrique 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Book:
XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza
  1. Ramón Costa Castelló (coord.)
  2. Manuel Gil Ortega (coord.)
  3. Óscar Reinoso García (coord.)
  4. Luis Enrique Montano Gella (coord.)
  5. Carlos Vilas Fernández (coord.)
  6. Elisabet Estévez Estévez (coord.)
  7. Eduardo Rocón de Lima (coord.)
  8. David Muñoz de la Peña Sequedo (coord.)
  9. José Manuel Andújar Márquez (coord.)
  10. Luis Payá Castelló (coord.)
  11. Alejandro Mosteo Chagoyen (coord.)
  12. Raúl Marín Prades (coord.)
  13. Vanesa Loureiro-Vázquez (coord.)
  14. Pedro Jesús Cabrera Santana (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 9788497498609

Year of publication: 2023

Pages: 180-185

Congress: Jornadas de Automática (44. 2023. Zaragoza)

Type: Conference paper

Abstract

This work presents an intelligent system, based on fuzzy logic, to automate the actions of a commercial airplane pilot in the different flight phases in order to adapt the speed envelope and stay within it. For this, a simplified modular system is designed that performs the action of changing the position of the high-lift surfaces (flaps and slats) of the aircraft according to its speed needs, trying to maintain the envelope of the aircraft, which is critical for flight safety. In this way, the lift necessary for the flight is maintained despite the necessary changes in speed to that required for the different phases (takeoff, climb, cruise, approach and landing) as a human pilot would do, but automatically. The simulation results in simplified scenarios show the expected behavior.