Yazar "Mouton, Xavier" seçeneğine göre listele

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    Implementation of semi-active suspension control methods in a full car model and a comparative study in terms of ride comfort and road holding
    (Sage Publications Ltd, 2023) Buyukkopru, Mert; Uzunsoy, Erdem; Mouton, Xavier
    Semi-active suspension systems are becoming increasingly common in the automotive industry due to their low energy consumption and cost advantages. A significant milestone in semi-active suspension control is the emergence of the skyhook control method. Then, the active driven damper method was introduced to bring the semi-active control closer to the optimum limit of the system. Later, power driven damper was introduced to reduce the jerk of the active driven damper and skyhook. The active and power-driven damper are mixed with skyhook control to be optimal throughout the entire frequency range. However, the methods mentioned above have been developed using the quarter car model, and no comparative studies have been found on the full car model effectiveness and the application of the methods, realistically. In this study, the above methods, which have been used in the literature, frequently, were compared first, on the quarter car model to reveal the system response characteristics. Then, a curved regular grid road profile and a high-fidelity full car model were used to compare the centralised skyhook continuous and four quarter car approaches.
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    Vision based road profile estimation for preview-controlled vehicle suspension systems
    (Adem TEKEREK, 2024) Büyükköprü, Mert; Uzunsoy, Erdem; Mouton, Xavier
    In this paper, a vision-based road profile estimation method was studied for the control of semi-active and active suspension systems. For the purpose, a monocular camera was used to collect data from the road tests to develop a logic to convert the camera measurements into the road profile data. For the generation of the road profile, alignment of the different sets of camera measurements and their coherence were expressed. Importance of the sensor and process noise removal were shown in recognition of the high frequency content of the road profile, which was a particular interest of the study. Additionally, a density-based clustering algorithm was taken into account to cluster the measured points vertically, to remove the process and sensor noise. The density-based clustering method reduced the noises and allowed detection of the high and low frequency contents of the road.