J. Sharifi, A. Amirjamshidy,
Volume 8, Issue 1 (3-2018)
Abstract
The electronic stability control (ESC) system is one of the most important active safety systems in vehicles. Here, we intend to improve the Electronic stability of four in-wheel motor drive electric vehicles. We will design an electronic stability control system based on Type-2 fuzzy logic controller. Since, Type-2 fuzzy controller has uncertainty in input interval furthermore of output fuzziness, it behaves like a robust control, hence it is suitable for control of nonlinear uncertain systems which uncertainty may be due to parameter variation or un-modeled dynamics. The controller output for stabilization of vehicle is corrective yaw moment. Controller output is the torque that distribute by braking and acceleration on both sides of the vehicle. We simulate our designs on MATLAB software. Some drive maneuvers will be carry to validate system performance in vehicle stability maintenance. Simulation results indicate that distributed torque-brake control strategy based on Type-2 fuzzy logic controller can improve the stability and maneuverability of vehicle, significantly in comparison with uncontrolled vehicle and Type-1 fuzzy ESC. Furthermore, we compare the conventional braking ESC with our designed ESC, i.e. distributed exertion of torque ESC and braking ESC in view point of both stabilization and performance. As we will see, proposed ESC can decrease vehicle speed reduction, in addition to better vehicle stability maintenance.
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.
Mr. Milad Sarani, Dr. Behrooz Mashadi, Dr. Majid Majidi,
Volume 16, Issue 1 (3-2026)
Abstract
In this paper, a multi-level hierarchical control method for enhancing electric vehicle (EV) stability with four independent in-wheel motors is proposed. In the high-level motion controller, a sliding mode controller is used to calculate the total desired force and yaw moment, and in the low-level control allocation, an optimal energy-efficient control allocation scheme is presented to provide optimally distributed torques for four in-wheel motors. Moreover, both handling performance and energy savings are investigated in this research and evaluated via a co-simulation approach using MATLAB/Simulink, and CarSim. With a torque distribution algorithm based on energy efficiency optimization, the EV is controlled with and without a controller in J-turn and lane change maneuvers. The simulation results show that the proposed torque control system and torque distribution algorithm can maintain stability, reduce energy consumption, and track the desired values of yaw rate and longitudinal velocity of the vehicle in the mentioned maneuvers.
