重庆理工大学学报（自然科学版）2017，Vol.31Issue(3)：1-11,11.DOI:10.3969/j.issn.1674-8425(z).2017.03.001
半主动空气悬架的神经模糊控制
Neural-Fuzzy Control Applied in Adjustable Volume Air Suspension with Additional Air Chambers
摘要
Abstract
We studied on a whole vehicle equipped with adjustable volumes air suspension,firsdy,a model of adjustable volumes air spring with additional air chamber was established,and then the model was substituted into a whole vehicle model in the form of the spring force.Secondly,we designed comprehensive objective function which regard the ride comfort indicator as leading status,and then the function of the whole vehicle was optimized cycle by cycle by the GA (genetic algorithm) to receive the optimized output data of the fuzzy controller of front suspension and rear suspension under different driving conditions and then processed the data for learning of neural network to establish the T-S neural fuzzy inference systems.The results show that the semi-active air suspension with fuzzy controller compared with the passive air suspension improved the ride comfort significantly under different driving conditions,and the improved effect was superior to vehicle which in empty load.关键词
附加气室/空气悬架/神经模糊控制/改进遗传算法/平顺性Key words
auxiliary chamber/air suspension/neural-fuzzy control/improved genetic algorithm/ride comfort分类
交通运输引用本文复制引用
江洪,王子豪,孔亮..半主动空气悬架的神经模糊控制[J].重庆理工大学学报（自然科学版）,2017,31(3):1-11,11.基金项目
国家自然科学基金资助项目(51575241) （51575241）
