Variable Universe Fuzzy Control for Direct Yaw Moment of Distributed Drive Electric Vehicle

A direct yaw moment control (DYC) system based on variable universe fuzzy logic is proposed to improve the stability of distributed drive electric vehicle in this paper. The upper layer of controller is a two-stage variable universe fuzzy controller, and the deviation between actual value and reference of yaw rate and side slip angle is used to calculate the required yaw moment. The lower layer of the controller adopts the redistribution pseudo inverse (RPI) algorithm, which takes the tire utilization rate as the optimization target and the maximum driving torque of the motor as the constraint target, and effectively distributes the required yaw moment to each wheel. The proposed control system is simulated and verified under J-turn and single shift line condition, and the control effect is reflected by comparison control in the uncontrolled, fuzzy PI control and variable universe fuzzy control. The simulation results show that it can make the vehicle track the reference better and enhance vehicle’s handing and stability, and that the control algorithm is effective and feasible.