Velocity Estimation Algorithms for Suspensions

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

Resultado de la investigaciónrevisión exhaustiva

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
DOI
EstadoPublished - 1 nov 2019
Evento7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa
Duración: 11 nov 201914 nov 2019

Conference

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

All Science Journal Classification (ASJC) codes

  • Sistemas de información
  • Gestión y sistemas de información
  • Inteligencia artificial
  • Visión artificial y reconocimiento de patrones
  • Procesamiento de senales

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