Stability Control of an Autonomous Vehicle in Overtaking Manoeuvre Using Wheel Slip Control

Author(s):  
Armin Norouzi ◽  
Ali Barari ◽  
Hadi Adibi-Asl
2006 ◽  
Vol 129 (1) ◽  
pp. 20-31 ◽  
Author(s):  
Sergio M. Savaresi ◽  
Mara Tanelli ◽  
Carlo Cantoni

In road vehicles, wheel locking can be prevented by means of closed-loop anti-lock braking systems (ABS). Automatic braking is extensively used also for electronic stability control (ESC) systems. In braking control systems, two output variables are usually considered for regulation purposes: wheel deceleration and wheel longitudinal slip. Wheel deceleration is the controlled output traditionally used in ABS, since it can be easily measured with a simple wheel encoder; however, the dynamics of a classical regulation loop on the wheel deceleration critically depend on the road conditions. A regulation loop on the wheel longitudinal slip is simpler and dynamically robust; moreover, slip control is perfectly suited for both ABS and ESC applications. However, the wheel-slip measurement is critical, since it requires the estimation of the longitudinal speed of the vehicle body, which cannot be directly measured. Noise sensitivity of slip control hence is a critical issue, especially at low speed. In this work a new control strategy called mixed slip-deceleration (MSD) control is proposed: the basic idea is that the regulated variable is a convex combination of wheel deceleration and longitudinal slip. This strategy turns out to be very powerful and flexible: it inherits all the attractive dynamical features of slip control, while providing a much lower sensitivity to slip-measurement noise.


2018 ◽  
Vol 2 (2) ◽  
pp. 135-146
Author(s):  
Kada Hartani ◽  
Mohamed Khalfaoui ◽  
Abdelkader Merah ◽  
Norediene Aouadj

Author(s):  
Ning Pan ◽  
Liangyao Yu ◽  
Lei Zhang ◽  
Zhizhong Wang ◽  
Jian Song

An adaptive searching algorithm for the optimal slip during ABS wheel slip control is proposed. By taking advantage of the fluctuation of wheel slip control, the direction towards the optimal slip can be found, and the target slip calculated by the algorithm asymptotically converged to the optimal slip, which is proved using the Lyapunov theory. A gain-scheduling wheel slip controller is developed to control the wheel slip to the target slip. Simulations on the uniform road and on the road with changed friction are carried out to verify the effectiveness of the proposed algorithm. Simulation results show that the ABS algorithm using the proposed searching algorithm can make full use of the road friction and adapts to road friction changes. Comparing with the conventional rule-based ABS, the pressure modulation amplitude and wheel speed fluctuation is significantly reduced, improving control performance of ABS.


2017 ◽  
Vol 55 (11) ◽  
pp. 1665-1685 ◽  
Author(s):  
M. Sofian Basrah ◽  
Efstathios Siampis ◽  
Efstathios Velenis ◽  
Dongpu Cao ◽  
Stefano Longo

Sign in / Sign up

Export Citation Format

Share Document