基于模糊控制的分布式电动车辆横摆力矩研究

为提高多轮分布式电驱动车辆在不同工况下的操纵稳定性,设计了一种基于直接横摆力矩控制的分层控制策略。上层以横摆角速度和质心侧偏角为控制变量,采用模糊控制进行目标运动状态跟踪,决策出所需要的横摆力矩。下层按设计的规则进行转矩分配。应用TruckSim和Matlab/Simulink建立车辆和控制器模型,分别在高、低附着等工况下进行联合仿真。仿真结果表明,设计的模糊控制方法能对车辆目标状态进行良好跟踪,相较于无控制状态能够提高车辆的操纵稳定性。

Direct Yaw Moment Control of Distributed Electric Drive Vehicle based on Fuzzy Control

A hierarchical control strategy based on direct yaw moment control was designed to improve the handling and stability of multi-wheel distributed electric drive vehicles under different working conditions.The upper layer of the controller uses fuzzy control to track the target state,taking yaw rate and side slip angle as the variables,which can decide the desired yaw moment;the lower layer distributes the required yaw moment to each wheel according to the designed rules.The control strategy is verified by using TruckSim and Matlab/Simulink co-simulation under different conditions,and the results show that the designed control system can track the target state well and improve the handling stability of the vehicle.