Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 14 2 2024 05 21 Implementation robust control technique to lateral stabilization for in-wheel motor electric vehicle Implementation robust control technique to lateral stabilization for in-wheel motor electric vehicle 111 126 3216 10.22044/jsfm.2024.13967.3821 FA Mohammad Amin Ghomashi Faculty of Mechanic, KNTU Reza Kazemi Faculty of Mechanic, KNTU Journal Article 2023 12 25 In this research, the presentation and development a robust control algorithm system for stabilization in-wheel motor electric vehicle by implementing the sliding mode control technique is carried out. Based on the proposed algorithm, a shared weight control is implemented between the yaw rate of vehicle and the sideslip angle of the vehicle. Also, a weighting coefficient is used using fuzzy algorithm to control the yaw torque of the vehicle. In the following, the optimal distribution of torque to the four wheels of in-wheel motor electric vehicle, considering the limit of the maximum torque of the electric motor and considering the coefficient of friction of the road surface and tire, is done. Based on the proposed algorithm, a shared weight control is implemented between the yaw rate of vehicle and the sideslip angle of the vehicle. Also, a weighting coefficient is used using fuzzy algorithm to control the yaw torque of the vehicle. The proposed control system is jointly implemented in MATLAB/Simulink-Carsim softwares. The results of the performed simulations show the optimal and effective performance of the proposed control algorithm system. In this research, the presentation and development a robust control algorithm system for stabilization in-wheel motor electric vehicle by implementing the sliding mode control technique is carried out. Based on the proposed algorithm, a shared weight control is implemented between the yaw rate of vehicle and the sideslip angle of the vehicle. Also, a weighting coefficient is used using fuzzy algorithm to control the yaw torque of the vehicle. In the following, the optimal distribution of torque to the four wheels of in-wheel motor electric vehicle, considering the limit of the maximum torque of the electric motor and considering the coefficient of friction of the road surface and tire, is done. Based on the proposed algorithm, a shared weight control is implemented between the yaw rate of vehicle and the sideslip angle of the vehicle. Also, a weighting coefficient is used using fuzzy algorithm to control the yaw torque of the vehicle. The proposed control system is jointly implemented in MATLAB/Simulink-Carsim softwares. The results of the performed simulations show the optimal and effective performance of the proposed control algorithm system. https://jsfm.shahroodut.ac.ir/article_3216_289b8185ff7d4c7b4d55bac5409f59f0.pdf