Robust estimation of vehicle lateral velocity and yaw rate using switched T-S fuzzy interval observers

Author(s):  
S. Ifqir ◽  
N. Ait Gufroukh ◽  
D. Ichalal ◽  
S. Mammar
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Antonio Navarrete Guzmán ◽  
Claudia Carolina Vaca García ◽  
Stefano Di Gennaro ◽  
Cuauhtémoc Acosta Lúa

This study considers the design of a modified high-order sliding mode (HOSM) controller using a PI sliding surface to the attitude control of a ground vehicle. A robust-modified HOSM controller is derived, so that the lateral velocity and yaw rate tracks the desired trajectory despite the environment actions acting on the ground vehicle and parameter variations. The stability is guaranteed with Lyapunov’s stability theorem function. The performance of the dynamic controllers is evaluated using the CarSim simulator considering a challenging double steer maneuver.


1992 ◽  
Vol 114 (4) ◽  
pp. 606-613 ◽  
Author(s):  
N. Matsumoto ◽  
M. Tomizuka

In automatic lateral control, which will play a key role in highway automation, vehicles must follow a given path and vehicle direction must be controlled as desired. Therefore, the ideal is for the lateral motion and yaw motion of the vehicle to be controlled independently. This requires at least one additional control input which is independent of the front steering angle. This paper explores the use of two independent control inputs, which are the front steering angle and an extra control input. Three types of extra control inputs are considered: (1) a differential driving torque between the two front wheels; (2) that between the two rear wheels; and (3) the rear steering angle. The analysis utilizing a linearized vehicle model shows that the front and rear independent steering allows a wider variation of lateral velocity and yaw rate in the steady state. A control algorithm with front and rear independent steering, which features continuously changing gains dependent on vehicle velocity and road conditions, is presented. Performance evaluation is based on a simulation study on a nonlinear vehicle model and an experimental study with a laboratory model vehicle.


2014 ◽  
Vol 6 (5) ◽  
pp. 552-557 ◽  
Author(s):  
Eglė Dūdėnaitė ◽  
Robertas Pečeliūnas ◽  
Vidas Žuraulis ◽  
Dalius Matuzevičius

The paper analyses the dynamic characteristics of light vehicles during double lane change manoeuvre (ISO 3888-2). The purpose of research is to determine the angle of vehicle sideslip using the adjusted calculation methodology according to the measured longitudinal and lateral velocity and yaw rate and to estimate vehicle stability and drivability based on the obtained results driving at various speeds. Small (B1 class) vehicles have been selected for this research because of stability problems during sudden manoeuvres. Straipsnyje nagrinėjamos lengvųjų automobilių dinaminės charakteristikos dvipusio judėjimo juostos keitimo manevro metu (ISO 3888-2). Tyrimo tikslas – pagal eksperimentinio bandymo metu jutiklių užfiksuotas išilginio ir skersinio greičio projekcijas ir sukimosi greičius apie vertikalią automobilio ašį, pritaikius skaičiavimo metodiką, apskaičiuoti slydimo (skersridės) kampus. Pagal gautus rezultatus įvertinti automobilių stovumą ir valdomumą važiuojant skirtingais greičiais. Tyrimams pasirinkti maži (B1 klasės) automobiliai, nes staigaus manevro metu šios klasės automobiliai gali tapti nestabilūs.


Author(s):  
Gesang Nugroho ◽  
◽  
Zahari Taha

This paper describes a model-based controller design for helicopter using the sliding mode approach. The controller design assumes that only measured output are available and uses sliding mode observer to estimate all states of the system. The estimated states are then used to construct a model reference sliding mode control law. Simulation shows good performance for lateral velocity, longitudinal velocity, vertical velocity and yaw rate control.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Tao Sun ◽  
Hao Guo ◽  
Jian-yong Cao ◽  
Ling-jiang Chai ◽  
Yue-dong Sun

Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.


2017 ◽  
Vol 20 (1) ◽  
pp. 216-227 ◽  
Author(s):  
Hao Sun ◽  
Han Zhao ◽  
Kang Huang ◽  
Shengchao Zhen

Author(s):  
Mietek A. Brdys ◽  
Kazimierz Duzinkiewicz ◽  
Michal Grochowski ◽  
Tomasz Rutkowski

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