Research On The Anti-skid Control Algorithm Of ELSD

Fractional With the increase of car ownership year by year,more and more attention has been paid to the driving safety and operation stability of the car,which has become an important performance index of the car.The driving anti-skid control system is an important part of the electronic control system of the vehicle,which can effectively restrain the vehicle from skidding under the bad road conditions.This paper takes the electronic limited slip differential(ELSD)as the research object,aims to propose a stable and effective anti-skid control algorithm,which is applied to the electronic limited slip differential to improve the driving performance of the rear wheel drive vehicle on the split road.Firstly,this paper analyzes the principle of driving antiskid control,summarizes and summarizes the methods of driving antiskid control,and determines the feasibility and applicability of ELSD driving antiskid.The functional modules of ELSD are divided,compared with ordinary differential and passive limited slip differential,the principle and torque transfer characteristics of active limited slip are analyzed,and the mathematical model of ELSD is constructed.The ELSD is placed in the whole vehicle environment,the whole vehicle system is analyzed,and the dynamic model of each part of the whole vehicle is established,including engine model,tire model,transmission system model and the whole vehicle model,which provides the theoretical basis for the algorithm simulation in the following paper.Secondly,the optimal slip rate is determined as the control parameter of the algorithm,and the slip rate of the high side drive wheel is controlled near the optimal value.In order to identify the optimal slip rate under different pavement conditions,a fuzzy pavement recognition system is designed.Based on the ?-S model of tire,the system estimates the optimal slip ratio by comparing the similarity with the standard curve.The deviation between the estimated optimal value and the theoretical value is small,which can effectively identify the required target slip rate.Finally,several common intelligent control algorithms are compared,and the controller is designed based on the fuzzy PID algorithm.The PID control parameters are obtained according to the fuzzy reasoning,and the PWM duty cycle of the high-speed on-off valve is adjusted in real time to achieve different degrees of sliding limit.In the Simulink simulation environment,the simulation model of each module is established,including ELSD model,vehicle dynamics model,road identification model and control algorithm model.The simulation model of the whole system is built,and the simulation parameters and simulation conditions are set.Compared with ordinary differential without any control algorithm,the control effect of fuzzy PID algorithm is analyzed.The simulation results show that the algorithm can effectively improve the driving force of vehicles on the split road.