基于模糊控制的重型货车空气悬架性能多目标优化

针对空气悬架的非线性特点在Matlab平台上建立1/4重车动力学模型,基于Simulink完成半主动空气悬架模糊控制器的设计,联合动力学和控制模型进行悬架刚度的适时调控仿真,从而提高车辆的平顺性;在此基础上,以悬架阻尼系数为变量进行仿真,得到车辆平顺性和道路友好性随阻尼系数的变化规律;最后对系统的平顺性和道路友好性目标进行加权优化处理,得到模糊控制条件下使悬架获得最优综合性能的悬架阻尼系数.优化后的重车模型道路友好性和平顺性分别改善了10.7%和19.7%.

Integrated performance optimum design of heavy truck air suspension based on fuzzy control

A quarter-heavy truck dynamic model assembled with air suspension was established using Matlab considering nonlinearity and time variability of air suspension,and then a semi-active air suspension fuzzy controller was designed. Dynamic model and fuzzy controller are combined for simulation in order to enhance the ride comfort of the truck by adjusting suspension stiffness at real time.In the next round of simulations,suspension damping coefficient is considered as a variable,on the basis of that variation laws of ride comfort and road friendliness due to the transfer of suspension damping are obtained. Finally,ride comfort and road friendliness indexes are weighted to create a new comprehensive index,according to which the best damping coefficient under fuzzy control condition can be found.The simulation results indicate that the heavy truck with the best damping coefficient and fuzzy controller are 10.7% and 19.7% better than the truck with normal air suspension in road friendliness and ride comfort.