车辆防抱装置模糊控制器的参数优化

Param etric Optimization of Fuzzy Controller for Vehicle ABS

以车辆防抱装置为研究对象,应用CarSim软件建立整车动力学模型,应用MATLAB软件建立防抱装置模糊控制器。根据国标要求,在三种路面工况下进行联合仿真试验,结合响应面模型和遗传算法优化防抱装置模糊控制器的参数。通过研究确认,优化后的防抱装置模糊控制器使车辆的制动距离分别缩短了0.43m、1.03m和2.01m。

Taking the vehicle ABS device as the research object, the CarSim software was used to establish the vehicle kinetic model, and the MATLAB software was used to establish the fuzzy controller for ABS. According to the requirements of the national standard, joint simulation tests under three road conditions were carried out, and the response surface model and genetic algorithm were combined to optimize the parameters of the fuzzy controller for ABS. Through research, it is confirmed that the optimized fuzzy controller for ABS can shorten the braking distance of the vehicle by 0.43 m, 1.03 m and 2.01 m, respectively.