基于模糊理论的汽车智能巡航控制策略与仿真

Control Strategy and Simulation of Automobile Intelligent Cruise System Based on Fuzzy Theory

基于模糊控制和模型匹配理论,应用分层式汽车智能巡航控制策略,实现节气门和制动踏板的协调控制。模糊上位控制器以实际距离与理想距离差和前方车辆与巡航车速度差作为输入,结合设计的模糊规则,获得巡航车期望加速度。考虑车辆系统干扰和响应延时性影响,构建了模型匹配下位控制器以确保巡航车期望加速度的实际输出。利用Simulink对控制功能实施了仿真验证,结果表明,该控制策略可有效实现智能跟随和定速巡航功能,提高行驶安全性。

Based on the fuzzy control and model match theory, a hierarchical automobile intelligent cruise control strategy was applied in this paper, to realize coordinated control of throttle and brake pedal. The difference between actual distance and ideal distance of the upper fuzzy controller and the difference between the front vehicle speed and cruising vehicle speed were used as input, and combined with the fuzzy rule of design, the expected acceleration of the cruising vehicle was obtained. Considering the influence of vehicle system disturbance and time-delay, a lower model match controller was constructed to assure the actual output of expected acceleration of the cruising vehicle. The control function was verified using MATLAB/Simulink. The results show that the control strategy can effectively realize intelligent tracking and constant speed cruise function, and improve driving safety.