Yazar "Uzunsoy, Erdem" seçeneğine göre listele
Listeleniyor 1 - 7 / 7
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe A Brief Review on Fuzzy Logic Used in Vehicle Dynamics Control(Bursa Teknik Üniversitesi, 2018) Uzunsoy, ErdemAs an implication of a mathematical set theory, fuzzy logic has widely been used in engineering applications, since its invention. One of the popular areas, which the logic could successfully penetrate the real world, is the automotive engineering. Especially; rulemaking authorities, a competitive sector and more conscious customers challenge the vehicle designers to use state of the art technologies for better performance, safety and higher dynamic requirements. Therefore, although the style design has been an attraction point in the first place, nowadays, control systems have been the distinguishing parameter of the vehicle design. Certainly, not only the hardware used for the control, but also the method used is important in judgement of the system’s success. Fuzzy logic control (FLC) has been studied and applied in vehicle dynamics control model and the systems for decades. The method is classified in the intelligent control systems and is capable of dealing with the systems consisting of uncertainty and non-linearity as in some fields of automotive engineering. From this point of view, this paper aims to reveal the most commonly used FLC applications in vehicle dynamics literature.Öğe Development of a trajectory following vehicle control model(Sage Publications Ltd, 2016) Uzunsoy, Erdem; Erkilic, VeyselDetermination of the handling properties of a vehicle may be restrictive in some situations. A vehicle model coupled with a driver model may be necessary and even unavoidable to analyse the real road behaviour in the most basic form. Therefore, a fuzzy logic-based controller has been investigated for potential application in modelling driver. Using some particular and limited number of information from characteristics of human driving operation, the model aims to provide any flexible vehicle path reliably. It generates the vehicle's trajectory through a number of specified points through which the vehicle must pass. The controller was modified to account for peripheral vision characteristic of human eye, as an input. The simulation is carried out in the MATLAB(C) programming environment using a Simulink(C) vehicle model. Both longitudinal and lateral controls were applied in the study. This article adds novel approaches to the limited existing published work on driver steering model using fuzzy logic.Öğe 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, XavierSemi-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.Öğe Investigating vehicle behavior on a sloped terrain surface(SAE International, 2014) Uzunsoy, Erdem; Bolarinwa, E.; Olatunbosun, O.; He, R.Sloped medians provide a run-off area for errant vehicles so that they can be safely stopped off-road with or without barriers placed in the sloped median. However, in order to optimize the design of sloped medians and the containment barriers, it is essential to accurately model the behavior of vehicles on such sloped terrain surfaces. In this study, models of a vehicle fleet comprising a small sedan and a pickup truck and sloped terrain surface are developed in CarSim™ to simulate errant vehicle behavior on sloped median. Full-scale crash tests were conducted using the vehicle fleet driven across a 9.754 meters wide median with a 6:1 slope at speeds ranging from 30 to 70 km/h. Measured data such as the lateral accelerations of the vehicle as well as chassis rotations (roll and pitch) were synchronized with the vehicle motion obtained from the video data. The measured responses were compared with responses obtained from simulation in CarSim™ to validate the vehicle and slope terrain models. In addition, snapshots of recorded video footage from the tests were compared to CarSim™ video footage to show the fidelity of the simulation. The developed models will be used to carry out parametric studies to optimize the design of sloped medians and containment barriers. Copyright © 2014 SAE International.Öğe Reliability of Extended Kalman Filtering Technic on Vehicle Mass Estimation(Bursa Teknik Üniversitesi, 2021) Büyükköprü, Mert; Uzunsoy, ErdemIn this paper, vehicle mass estimation problem was researched by the Kalman Filtering process to investigate the effectiveness of Extended Kalman Filter technique on mass estimation, which has widely been studied on the related literature with all the successful results. For the purpose, a longitudinal vehicle dynamics model was developed, and the equations were transformed into the well-known state space form. Nonlinear problem in its nature was discretised and linearized by using Euler method. In addition, road slope was calculated by a road slope inclinometer logic. IPG CarMaker® was utilized to overcome the nonlinearities, design the test environment and the conditions, as it was observed that the simulation results were not met the expectations with the logged vehicle physical test data. Several test scenarios were run to simulate level and wavy road with different vehicle speeds. The results showed that the Extended Kalman Filter could provide a reasonable convergence when the initial values were correctly selected, no nonlinear issue occurred and certain tuning parameters were defined with stable boundary conditions for mass estimation.Öğe Vehicle Dynamics Simulations on Road and Off-Road Surfaces – A Comparative Analysis(Sakarya University, 2018) Uzunsoy, ErdemTyre models used in vehicle dynamics models are generally developed based on the behaviour of vehicles on specially constructed roads with prescribed adhesion characteristics. The behaviour of road and off-road vehicles on two different surfaces is different. In this study; on the basis of a tyre model that can be adapted both on the road and off-road, an approach is shown to the actual or encountered situations with simulated comparisons over standard vehicle dynamics manoeuvres. Matlab / Simulink is used as modelling and simulation environment.Öğe Vision based road profile estimation for preview-controlled vehicle suspension systems(Adem TEKEREK, 2024) Büyükköprü, Mert; Uzunsoy, Erdem; Mouton, XavierIn 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.
