scholarly journals Experimental Study on Vehicle Dynamics Management by Active Brake Control Based on Tire Force Usage(Mechanical Systems)

2009 ◽  
Vol 75 (751) ◽  
pp. 616-622
Author(s):  
Haruo IWANO ◽  
Satoshi NISHIOKA ◽  
Takahisa KAMIKURA ◽  
Nobuo MASAKI ◽  
Shougo KANAGAWA ◽  
...  
1998 ◽  
Vol 10 (6) ◽  
pp. 488-493
Author(s):  
Shigeki Toyama ◽  
◽  
Yasuo Murakuki

This paper dynamically simulates a small running 2DW2C automobile (mouse) and simulates path tracking control. Our purpose was to optimize mouse design using simulation results. We added tire force and DC motor force to A1 Motion, a simulator for analyzing mechanical systems developed in our laboratory, and improved the simulator simulating a running automobile. Experiments with a small 2DW2C automobile compared experimental and simulation results involving dynamic characteristics of an actual mouse. We got correct simulation results using this model and simulator. We studied its running performance, affected by its wheelbase and caster length, and evaluated path tracking control using closoidal curves.


2016 ◽  
Vol 823 ◽  
pp. 61-64
Author(s):  
Alina Elena Romanescu ◽  
Laura Diana Grigorie ◽  
Daniela Vintilă

The current paper presents an experimental study of the movements of plants, as well as various conclusions of the research. The main idea is that the general movement of a plant under the action of the wind is a very complex one, and it can be studied within the research for creating mechanical systems based on the same principles.


2019 ◽  
Vol 21 (8) ◽  
pp. 2025-2038
Author(s):  
Bing Chen ◽  
Jiwei Yan ◽  
Wei Mo ◽  
Chuanlei Xu ◽  
Lijie Zhang ◽  
...  

2021 ◽  
Author(s):  
Yoonjin Hwang

The recent developments on advanced driver assistance system(ADAS) have extended the capability of sensor systems from surrounding perception to motion estimation. The motion estima?tion provides tri-axial velocity and pose measurements, which open potential benefits for control and state estimation through sensor fusion with the vehicle dynamics model. In this paper we propose an identification method for the vehicle single track model parameters including the relative distance between the vehicle center of gravity and the motion sensor. A linearized tire force model and simplified single track vehicle model are constructed with the corresponding sensor kinematics model. We demonstrate the efficacy of iden?tification performance of the proposed method and confirm the feasibility of the usage of ADAS sensor in vehicle dynamics and vice versa


2019 ◽  
Vol 9 (6) ◽  
pp. 1151 ◽  
Author(s):  
Pongsathorn Raksincharoensak ◽  
Sato Daisuke ◽  
Mathias Lidberg

In this paper a vehicle dynamics control system is designed to compensate the change in vehicle handling dynamics of lightweight vehicles due to variation in loading conditions and the effectiveness of the proposed design is verified by simulations and an experimental study using a fixed-base driving simulator. Considering the electrification of future mobility, the target vehicle of this research is a lightweight vehicle equipped with in-wheel motors that can generate an additional direct yaw moment by transverse distribution of traction forces to control vehicle yawing as well as side slip motions. Previously, the change in vehicle handling dynamics for various loading conditions have been analyzed by using a linear two-wheel vehicle model in planar motion and a control law of the DYC system based on feed-forward of front steering angular velocity and feedback of vehicle yaw rate. The feed-forward controller is derived based on the model following control with approximation of the vehicle dynamics to 1st-order transfer function. To make the determination of the yaw rate feedback gain model-based and adaptable to various vehicle velocity conditions, this paper selects a method where the yaw rate feedback gain in the DYC system is determined in a way that the steady-state yaw rate gain of the controlled loaded vehicle matches the gain of the unloaded vehicle. The DYC system is simulated in a single lane change maneuver to confirm the improved responsiveness of the vehicle while simulations of a double-lane change maneuver with a driver steering model confirms the effectiveness of the DYC system to support tracking control. Finally, the effectiveness of the proposed DYC system is also verified in an experimental study with ten human drivers using a fix-based driving simulator.


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