Optimal Distribution Strategy for Vehicle Active Yaw Moment Using Bio-Inspired Computing

Abstract

This article aims to propose an optimized active yaw moment distribution strategy to improve vehicle safety and stability effectively. A controller based on a 2 DOF vehicle model and a PID controller is designed for the target active yaw moment, which is further allocated into longitudinal tire forces optimally by a particle swarm optimization (PSO) algorithm. The optimal distribution strategy is analyzed using Carsim and Matlab/Simulink co-simulation. The results show that the vehicle handling and stability are improved effectively through the lower workload of the actuators by the proposed control strategy.