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Estimation based on acceleration measures of an active suspension plant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings
EditorsGustavo Adolfo Osorio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467393058
DOIs
StatePublished - 02 Dec 2015
Event2nd IEEE Colombian Conference on Automatic Control, CCAC 2015 - Manizales, Colombia
Duration: 14 Oct 201516 Oct 2015

Publication series

Name2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings

Conference

Conference2nd IEEE Colombian Conference on Automatic Control, CCAC 2015
Country/TerritoryColombia
CityManizales
Period14/10/1516/10/15

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