Velocity estimation algorithms for suspensions

DIana Hernandez-Alcantara, Luis Amezquita-Brooks, Nancy Morales-Villarreal, Omar A. Juarez-Tamez

Resultado de la investigación

Resumen

Semi-active suspension systems aim to improve stability and comfort of vehicles. The most well-known semi-active suspension control strategies assume knowledge of the vehicle vertical-velocities. However, the vehicle normally does not includes sensors for these variables. In this paper various vertical-velocities estimation algorithms are compared: the traditional filtered integration algorithm, the classical Luenberger observer, the Unknown Input Observer and the Kalman Filter. A comprehensive comparison between the estimation methods in several perturbation scenarios is performed. The results show that it is possible to archive good estimation performance with a low level of complexity using a combination of estimators.

Idioma originalEnglish
Título de la publicación alojadaGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728127231
ISBN (versión impresa)9781728127231
DOI
EstadoPublished - 1 nov 2019
Evento7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa
Duración: 11 nov 201914 nov 2019

Serie de la publicación

NombreGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

Conference

Conference7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
PaísCanada
CiudadOttawa
Período11/11/1914/11/19

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

Huella Profundice en los temas de investigación de 'Velocity estimation algorithms for suspensions'. En conjunto forman una huella única.

  • Citar esto

    Hernandez-Alcantara, DI., Amezquita-Brooks, L., Morales-Villarreal, N., & Juarez-Tamez, O. A. (2019). Velocity estimation algorithms for suspensions. En GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings [8969344] (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP45357.2019.8969344