Abstract
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.
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 language | English |
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Title of host publication | International Symposium on Innovations in Intelligent Systems and Applications: 15th-18th June, 2005, Istambul, Turkey |
Editors | Tulay Yildrim |
Place of Publication | Istanbul, Turkey |
Pages | 291-294 |
Number of pages | 4 |
Publication status | Published - 2005 |
Event | International Symposium on Innovations in Intelligent Systems and Applications - Yildiz Technical University, Istanbul, Turkey Duration: 15 Jun 2005 → 18 Jun 2005 |
Conference
Conference | International Symposium on Innovations in Intelligent Systems and Applications |
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Abbreviated title | INISTA 2005 |
Country/Territory | Turkey |
City | Istanbul |
Period | 15/06/05 → 18/06/05 |
Keywords
- linear quadratic regulator
- fuzzification
- fuzzy logic control
- comparison study
- suspension systems