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Showing 2 results for Differential Braking

M. A. Saeedi, R. Kazemi,
Volume 3, Issue 1 (3-2013)
Abstract

In this study, stability control of a three-wheeled vehicle with two wheels on the front axle, a three-wheeled vehicle with two wheels on the rear axle, and a standard four-wheeled vehicle are compared. For vehicle dynamics control systems, the direct yaw moment control is considered as a suitable way of controlling the lateral motion of a vehicle during a severe driving maneuver. In accordance to the present available technology, the performance of vehicle dynamics control actuation systems is based on the individual control of each wheel braking force known as the differential braking. Also, in order to design the vehicle dynamics control system the linear optimal control theory is used. Then, to investigate the effectiveness of the proposed linear optimal control system, computer simulations are carried out by using nonlinear twelvedegree- of-freedom models for three-wheeled cars and a fourteen-degree-of-freedom model for a fourwheeled car. Simulation results of lane change and J-turn maneuvers are shown with and without control system. It is shown that for lateral stability, the three wheeled vehicle with single front wheel is more stable than the four wheeled vehicle, which is in turn more stable than the three wheeled vehicle with single rear wheel. Considering turning radius which is a kinematic property shows that the front single three-wheeled car is more under steer than the other cars.
Mrs Nayereh Raesian, Dr. Hossein Gholizadeh Narm,
Volume 15, Issue 2 (6-2025)
Abstract

Emergency braking during cornering is one of the main challenges in vehicle dynamics. This paper proposes a novel parallel control architecture for Electro-Hydraulic Braking (EHB) systems that dynamically balances the priorities of Emergency Braking (EB) and Electronic Stability Control (ESC) using a fuzzy-GA optimizer. . The proposed approach achieves significant improvements in yaw stability without compromising deceleration performance. The proposed control structure consists of two parallel branches that adjust the required pressure for each wheel and uses two inputs: the steering angle and the position of the driver's foot on the brake pedal. The control system is structured in such a way that it simultaneously calculates the vehicle deviation value using the sliding mode controller and then determines the appropriate pressure to compensate for this deviation, while at the same time estimating the appropriate brake pressure based on the brake pedal input. To effectively apply these inputs to the vehicle braking system this paper introduces an innovative approach that uses a fuzzy controller optimized through a genetic algorithm.
 


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