Drive Anti-slip Control Strategy Based on Multi-knowledge Base Fuzzy Control

Abstract

In order to improve the lateral stability, longitudinal dynamics and ensure the driver’s safety, a drive anti-slip control strategy based on multi-knowledge base fuzzy control is proposed. According to the driver’s intention and the characteristics of the adhesion coefficient, the target slip rate of the wheel is calculated. Based on the target slip rate. The vehicle driving mode is divided into the strong longitudinal dynamic mode, the strong lateral stability mode and the neutral balance mode. Different vehicle driving mode correspond to different rules of the knowledge base to control the driving torque of the whole vehicle’s target, so as to achieve the dynamic coordination of the lateral stability and the longitudinal dynamics. Simulink is used to simulate the control strategy. The simulation results show that the designed control strategy can give full play to the dynamic performance of the whole vehicle under various complex and variable working conditions, and at the same time significantly improve the driving anti-skid effect and driving stability of the vehicle.