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Throttle and brake pedals automation for populated areas

  • E. Onieva*
  • , V. Milanés
  • , C. Gonzlez
  • , T. De Pedro
  • , J. Pérez
  • , J. Alonso
  • *Autor correspondiente de este trabajo
  • Instituto de Tecnologías Físicas y de la Información (CSIC)

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

24 Citas (Scopus)

Resumen

Artificial intelligence techniques applied to control processes are particularly useful when the elements to be controlled are complex and can not be described by a linear model. A trade-off between performance and complexity is the main factor in the design of this kind of system. The use of fuzzy logic is specially indicated when trying to emulate such human control actions as driving a car. This paper presents a fuzzy system that cooperatively controls the throttle and brake pedals for automatic speed control up to 50km/h. It is thus appropriate for populated areas where driving involves constant speed changes, but within a range of low speeds because of traffic jams, road signs, traffic lights, etc. The system gets the current and desired speeds for the car and generates outputs to control the two pedals. It has been implemented in a real car, and tested in real road conditions, showing good speed control with smooth actions resulting in accelerations that are comfortable for the car's occupants.

Idioma originalInglés
Páginas (desde-hasta)509-516
Número de páginas8
PublicaciónRobotica
Volumen28
N.º4
DOI
EstadoPublicada - jul 2010
Publicado de forma externa

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 11: Ciudades y comunidades sostenibles
    ODS 11: Ciudades y comunidades sostenibles

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