Linear Control Technique for Anti-Lock Braking System

2011

Research on Engineering Structures and Materials

The anti-lock brake system (ABS) is a safety feature for automobiles that regulates brake pressure and delivers predictable braking in the majority of circumstances by monitoring wheel lock-up. It necessitates the creation of a robust control system due to the unknown uncertainties on the braking system induced by altering the vehicle model dynamics and road conditions. To progressively decrease the automobile accidents caused by abrupt braking and will achieve the best brake performance. The mathematical model was developed considering vehicle speed, and slip ratio between the tire and the road conditions and simulation was done for Super Urban Vehicle of the ABS using Fuzzy logic controller and CarSim software in MATLAB/Simulink are the main objectives of this study. With the assistance of the fuzzy logic control approach and the MATLAB/Simulink software, a quarter-vehicle dynamic model was developed to simulate under a variety of road circumstances, such as wet and dry conditions...

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2014

Two control techniques are developed for a quarter of a vehicle ABS, Antilock Braking System, using a laboratory setup, manufactured by INTECO. A space-state mathematical model was obtained from the system. The first technique is a basic PID controller and the second one is a nonlinear control method through error feedback using Lyapunov function techniques. Finally, both controllers are simulated using the mathematical model and then compared.

INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING , 2024

This paper presents a new approach to wheel slip control in Antilock Braking System (ABS) using an Approximated First Order Wheel Slip (AFOWS) Model Reference Adaptive Control (MRAC) based PID (AFOWS-MRAC-PID) controller. An ABS was modeled in a MATLAB/Simulink environment using a quarter car model with the proposed controller. Simulations were conducted with a wide range of adaptation gains (50, 100, 150, 200, and 250) to study the effectiveness of the proposed control system. The results revealed that the proposed system could track and maintain 10% wheel slip and eliminate oscillation (instability) in terms of overshoot associated with conventional PID controllers, particularly on wet and snowy road surfaces, using adaptation gains of 150, 200, and 250. Overall, the proposed system provided the best performance in terms of stopping distance, vehicle braking velocity, and braking torque on all road surfaces with an adaptation gain of 250, although braking on dry road surfaces was the most effective.

760: 761: 762: 763: The IASTED 2012 African Conferences, 2012

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 condition. 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,linear controllers will not suffice. This paper, therefore proposes a more robust non-linear control design using input-output state feedback linearization approach. To enhance the robustness of the non-linear controller, an integral feedback method was employed. The stability of the controller is analysed using a Lyapunov method. To demonstrate the robustness of the proposed method, simulations were conducted for two different road conditions. The results of the proposed controller were found to be superior to results obtained using a standard feedback linearisation controller.

ANNALS OF THE ORADEA UNIVERSITY. Fascicle of Management and Technological Engineering.

This paper presents a simplified model of a passenger-car's ABS (Anti-Lock Braking System). For simplicity purpose, a "quarter-car" planar model was considered: a wheel in rotation movement and a mass in translational movement (the vehicle mass supported by that wheel). In these conditions, a very simple dynamic model was obtained, having only two degrees of freedom (DOFs): the wheel rotation and the translation of the "quarter-car" mass. The mathematical model consists in the motion equations of the wheel and "quarter-car" mass and in the equations describing the comportment of the driver, controller, hydraulic module and brake. The model was transposed in a Matlab-Simulink model, offering the possibility to simulate many times how the ABS works if the constructive parameters, road conditions or driver inputs are changed.

Acta Polytechnica Hungarica

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 controller will not suffice. This paper therefore proposes a non-linear control design using input-output feedback linearization approach. To enhance the robustness of the non-linear controller, an integral feedback method was employed. The stability of the controller is analysed in the Lyapunov sense. To demonstrate the robustness of the proposed controller, simulations were conducted on two different road conditions. The results from the proposed method exhibited a more superior performance and reduced the chattering effect on the braking torque compared to the performance of the standard feedback linearization method.

Proceedings of the 16th IFAC World Congress, 2005, 2005

In road vehicles, wheel locking can be prevented by means of closedloop Anti-lock Braking Systems (ABS). Two output measured variables are usually considered for regulation: wheel-deceleration and wheel longitudinal slip. The traditional controlled variable used in ABS is the wheel deceleration, since it can be easily measured with a simple wheel encoder; however, it can be dynamically critical if the road-surface rapidly changes. On the other hand, the regulation of the longitudinal slip is much robust from the dynamical point of view, but the slip measurement is critical, since it requires the estimation of the longitudinal vehicle speed. In this work a control strategy is proposed, where the regulated variable is a combination of wheel deceleration and longitudinal slip.