Estimation based on acceleration measures of an active suspension plant

Sara D. Garcia, Diego Patino

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

The vehicle suspension system is responsible for comfort, safety and vehicle control. In order to positively manipulate these properties, control and estimation theory are used to adapt the system to different road conditions. This paper considers three estimation methods, which are designed to retrieve the system states using only acceleration measures: the Kalman Filter, Particle Filter and Artificial Neuronal Network. Also it considers two control methods: LQR, pole location, which it minimizes, the chassis acceleration (a variable used to improve the vehicle comfort). Finally the controllers and estimators are implemented in simulation, using the model of the Quanser active suspension plant. This plant corresponds to a linear dynamic system and is considered in this paper because it resembles a quarter-car suspension.

Idioma originalInglés
Título de la publicación alojada2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings
EditoresGustavo Adolfo Osorio
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467393058
DOI
EstadoPublicada - 02 dic. 2015
Evento2nd IEEE Colombian Conference on Automatic Control, CCAC 2015 - Manizales, Colombia
Duración: 14 oct. 201516 oct. 2015

Serie de la publicación

Nombre2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings

Conferencia

Conferencia2nd IEEE Colombian Conference on Automatic Control, CCAC 2015
País/TerritorioColombia
CiudadManizales
Período14/10/1516/10/15

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