A comparison study of robust control strategies for automotive active suspension systems

Cem Onat, I. B. Kucukdemiral, S. Cetin, I. Yuksek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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In practice, the sprung mass of a vehicle directly varies with the number of passengers and the baggage load. This variation negatively affects the
control performance. In this respect, the control mechanism of the automotive active suspension (AASS) that is used should be robust in nature. In the present work the robustness of the Linear Quadratic Regulator (LQR) and H * controllers
are compared with the fuzzy logic controller (FLC) which is widely used in intelligent robust systems. first of all LQR, H* and FLCs are designed individually then simulated on a quarter car model with nominal parameters in order to investigate the nominal performances in time domain. Finally the robustness properties of the same controllers are investigated on the suspension
model where lhe mass of the car is augmented 40% of its nominal value.
Original languageEnglish
Title of host publicationInternational Symposium on Innovations in Intelligent Systems and Applications: 15th-18th June, 2005, Istambul, Turkey
EditorsTulay Yildrim
Place of PublicationIstanbul, Turkey
Number of pages4
Publication statusPublished - 2005


  • linear quadratic regulator
  • fuzzification
  • fuzzy logic control
  • comparison study
  • suspension systems


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