This thesis considers the vibration control of an automobile suspension subject to road imperfections using multivariable feedback techniques. / Frequency-domain system identification methods are applied to model the dynamic behaviour of the suspension system from experimental test data using a data analysis software tool called CIFER. Advanced features such as the Chirp-Z Transform and composite window techniques are used to extract high quality frequency responses. A linear multivariable state-space model is derived which matches the experimental frequency response data set in the frequency range 65Hz-240Hz. / Accurate uncertainty modeling on the nominal suspension is needed to design controllers achieving acceptable levels of robustness and performance. It is shown that modeling errors are best characterized using a combination of both additive and multiplicative uncertainty, as well as perturbations of the state-space model parameters. / Robust feedback control design techniques using H-infinity and mu-synthesis are presented. It is shown both through simulation and experiment that vibration attenuation over the frequency range 65Hz-120Hz is achieved without affecting the system dynamic behaviour outside this range.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.99119 |
| Date | January 2005 |
| Creators | Vanreusel, Stephen. |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Engineering (Department of Electrical and Computer Engineering.) |
| Rights | © Stephen Vanreusel, 2005 |
| Relation | alephsysno: 002338166, proquestno: AAIMR25015, Theses scanned by UMI/ProQuest. |
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