Electric Vehicle Cruise Control Based on Fuzzy Self-Tuning Proportional Integral Algorithm

Abstract

针对车辆巡航控制问题，本文提出了一种基于模糊规则的自整定比例积分巡航控制算法。以电动汽车为研究对象，分析了道路环境对车辆速度的影响，建立了车辆纵向运动模型。以车辆实际速度与期望速度的误差为输入，设计了比例积分巡航控制器，同时利用“专家经验法”构建模糊规则，实现了控制器参数的自动整定。最后在Simulink和Carsim仿真软件中进行联合仿真，所提出的自整定比例积分巡航控制算法相比于传统比例积分控制算法具有更好的控制效果，车速跟踪响应速度快，静态误差小。 Aiming at the problem of vehicle cruise control, this paper proposes a self-tuning proportional integral cruise control algorithm based on fuzzy rules. Taking electric vehicles as the research object, the influence of road environment on vehicle speed was analyzed, and a vehicle longitudinal motion model was established. Taking the error between the actual vehicle speed and the desired speed as input, a proportional integral cruise controller is designed. At the same time, the “expert experience method” is used to construct fuzzy rules to realize the automatic tuning of controller parameters. Finally, simulation is performed in Simulink and Carsim, the simulation results show that the proposed self-tuning PI cruise control algorithm has fast response speed and small static error, and it has better control effect than traditional PI control algorithms.