Design and Simulation of Adaptive Fuzzy Controller for Active Suspension System

Jianmin Sun, Qingmei Yang
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Abstract

An adaptive fuzzy controller which fuzzy control rule table can be obtained with the numerical calculation is designed in order to improve vehicle comfort and road holding capability. There is no membership function choice of fuzzy subset for input and output of controller. The rectification factor is adjusted online according to adaptive method. The factor can be influenced by exciting signal and controlled signal, so the adaptive fuzzy controller has adaptive ability. For two degree-of-freedom (DOF) vehicle model, the simulation of vehicle performance in road signal is studied, its results show the acceleration of sprung mass can be declined effectively in resonance frequency band, even more obviously in the lower frequency, and its power spectral density (PSD) is reduced to 5%. The dynamic tyre load of wheels, is declined 20% in the resonance band of high frequency. It proves that the dynamic tyre load can meet the request for handling safety under random road excitation.
主动悬架系统自适应模糊控制器的设计与仿真
为了提高车辆的舒适性和道路持稳性,设计了一种可通过数值计算得到模糊控制规则表的自适应模糊控制器。控制器的输入输出不存在模糊子集的隶属函数选择。根据自适应方法在线调整整流系数。该因子可受激励信号和被控信号的影响,因此自适应模糊控制器具有自适应能力。针对二自由度(DOF)车辆模型,对道路信号下的车辆性能进行了仿真研究,结果表明,簧载质量的加速度在共振频带内可以有效降低,在低频更明显,其功率谱密度(PSD)降至5%。在高频共振带内,车轮的动载荷下降了20%。结果表明,在随机路面激励下,轮胎动态载荷能够满足车辆行驶安全的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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