چکیده مقاله
One of the most significant operational aspects of vehicles is their safety in critical braking maneuvers and electronic stability control ESC system performance Proper braking performance occurs when the stopping distance is minimized while the vehicle's steerability is maintained To meet these objectives, the tire slip ratio should be regulated at its optimum value In this study, a control system is designed for simultaneously controlling the brake torque of the front and rear wheels using the nonlinear prediction based control method In the control design process, the pitch dynamics have been considered which plays an important role in braking maneuvers Also, an attempt is made to estimate the parameters affecting the performance of the brake system, including the vehicle mass and the road friction coefficient using an extended Kalman filter EKF to reduce the uncertainty in the influential parameters Moreover, the instantaneous optimum wheel slip is determined via an artificial neural network ANN to improve the performance of the system and achieve the maximum possible brake deceleration The performance of the designed control system is investigated through conducted simulations in the CarSim and Matlab/Simulink software environments The obtained results confirm the enhancement in the braking performance along with a considerable reduction in the stopping distance
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شیوه ارجاع
Hosseini Salari, Ali and Mirzaeinejad, Hossein and Bazrcar, Mohammad and Jafari, Pooya,1404,Wheel Slip Control Enhancement Considering Pitch Dynamics, Parameters Estimation, and Neural-Network-Based Wheel Slip Reference Model,2nd International Conference on Modern Power Trains,Tehran
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مجموعه مقالات دومین همایش بین المللی قوای محرکه نوین22 مهر 1404 · تهران