Estimation based on acceleration measures of an active suspension plant
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Data
2015Autore
García Guzmán, Sara DanielaDirettore
Patiño Guevara, Diego AlejandroPublishers
Pontificia Universidad Javeriana
facoltà
Facultad de Ingeniería
programma
Maestría en Ingeniería Electrónica
Titolo ottenuto
Magíster en Ingeniería Electrónica
Tipo
Tesis/Trabajo de grado - Monografía - Maestría
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Astratto
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 three control methods: LQR and 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 and in the real plant, using the model of the Quanser active suspension plant.
Tema
Maestría en ingeniería electrónica - Tesis y disertaciones académicasFiltración Kalman
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