Velocity Estimation Algorithms for Suspensions

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

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Publication statusPublished - 1 Nov 2019
Event7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa, Canada
Duration: 11 Nov 201914 Nov 2019


Conference7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Copyright 2020 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

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


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