Anti-lock braking system is designed to optimize braking procedure while maintaining automobile steerability through controlling wheels slip. However, due to nonlinearity and uncertainty of ABS structure, designing the controller for wheel slip encounters so many problems which necessitate a robust control system. In this paper, a hybrid controller is proposed for ABS to address this issue. The...

The Anti-lock braking system (ABS) is an active safety device in road vehicles, which during hard braking maximizes the braking force between the tyre and the road irrespective of the road conditions. This is accomplished by regulating the wheel slip around its optimum value. Due to the high non-linearity of the tyre and road interaction, and uncertainties from vehicle dynamics, a standard PID ...

Dongsheng Wu, Jun Li, Xiaoping Shu, Xiaojing Zha, Beili Xu School of Mechanical and Electronic Engineering, East China Jiaotong University,Nanchang 330013, P. R. China Abstract: Braking performance test methods are compared and analyzed .ABS will not work if the speed is too low when the automobile is tested by tester and load testing. Since the braking performance can not be evaluated accurate...

The antilock braking system (ABS) is designed to optimize braking effectiveness and maintain steerability; however, the ABS performance will be degraded in the case of severe road conditions. In this study, a self-learning fuzzy sliding-mode control (SLFSMC) design method is proposed for ABS. The SLFSMC ABS will modulate the brake torque for optimum braking. The SLFSMC system is comprised of a ...

This paper presents results from two sets of experiments which investigate how strategies used by embodied dynamical agents in a simple braking task are affected by the perceptual information that the agents receive. Agents are evolved in a simple 2D environment containing one stationary object. The task of the agents is to stop as close as possible to the object without hitting it. The results...

Design and validation of the reconfiguration strategy for a redundantly actuated intelligent autonomous vehicle T K Bera, R Merzouki, B Ould Bouamama and A K Samantaray 1 LAGIS, UMR CNRS 8219, Polytech’Lille, Avenue Paul Langevin, 59655 Villeneuve d’Ascq, France 2 Department of Mechanical Engineering, Indian Institute of Technology, 721302 Kharagpur, India Abstract: This article deals with the ...

In this paper we present an integrated traffic management and control approach for Intelligent Vehicle Highway Systems (IVHS). These IVHS consist of interacting roadside controllers and intelligent vehicles that are organized in platoons with short intraplatoon distances, and larger distances between platoons. All vehicles are assumed to be fully automated, i.e., throttle, braking, and steering...

in the present paper, the idea of braking energy regeneration and reusing that energy during acceleration for a refuse truck is comprehended. according to their driving cycle, the refuse trucks have a good potential for braking energy regeneration. on the other hand, hydraulic hybrid is a powertrain with high power density which is appropriate for energy regeneration. in the primary stage of th...

In typical dual-task driving studies, participants concurrently perform pairs of driving-related and -unrelated tasks (e.g. vehicle braking and mental arithmetic). Requiring responses to both may implicitly equate their importance. In real-life driving, however, the potential for collision dictates that a concurrent task should be assigned far lower priority than driving. To better reflect natu...

With the energy consumption rising in rail transport, the railway sector is showing increasing interest in the energy-efficient operation of freight trains. Freight trains require more complicated driving strategies than ordinary passenger trains do due to their heavy loads, especially in the long-distance steep downhill (LDSD) sections that are very common in freight rail lines in China. This ...