基于三维模糊控制的车辆自适应巡航间距策略

为使纯电动汽车ACC系统更好地适应复杂多变的行车环境,本文提出了一种基于三维模糊控制的ACC间距策略。设计了一种双纵向PID控制器作为上层控制获得期望加速度；建立了车辆逆纵向动力学及电机模型计算电机输出转矩与制动压力,实现ACC系统下层控制。通过Simulink与Carsim联合仿真开展前车急加速、前车插入及平稳跟车工况试验,并与经典二维模糊控制进行对比。结果表明,所设计的间距策略能在安全间距下较好地跟踪前车,对各工况具备良好的适应性。

Adaptive Cruise Control Spacing Strategy for Vehicle Based on Three-Dimensional Fuzzy Control

In order to make the ACC system of pure electric vehicle better adapt to the complex and changeable driving environment, An ACC spacing strategy based on three-dimensional fuzzy control was proposed in this paper. The double longitudinal PID controller was designed as the upper control to obtain the expected acceleration. To complete the lower control of the ACC system, the inverse longitudinal dynamics model and motor model were established to calculate the motor output torque and braking pressure. Through the co-simulation of Simulink and Carsim, the experiments of rapid acceleration, insertion and stable following of the preceding vehicle were carried out, and the experiments were compared with the classical two-dimensional fuzzy control. The results show that the proposed spacing strategy can track the preceding vehicle well under the safe spacing, and has good adaptability to various traffic conditions.