摘要
为改善多轴重型车辆的动态性能,提出一种利用变论域模糊控制来实时优化悬架参数的方法。首先通过ADAMS/CAR软件建立采用磁流变减振器的车辆多体动力学模型,并在Matlab/Simulink中设计基于模糊推理的变论域模糊控制器;然后进行联合仿真,以研究在A、B、C级随机路面和不同车速工况下的整车动态特性。仿真结果表明:与普通模糊控制,尤其是被动悬架相比,经变论域模糊控制实时优化后的行驶平顺性和轮胎动载荷都有明显改善。
For improving the dynamic performance of multi-axle heavy vehicle,a method is proposed of using variable universe fuzzy control to real-time optimize suspension parameters.Firstly a multi-body dynamics model for the vehicle using magneto-rheological（MR） shock absorber is established by ADAMS/CAR software and a variable universe fuzzy controller based on fuzzy inference is designed with Matlab/Simulink.Then a co-simulation is conducted to study the dynamic characteristics of the vehicle on A,B and C-class random roads with different speeds.Simulation results show that after real-time optimization with variable universe fuzzy control,both ride comfort and dynamic tire load have apparent improve compared with conventional fuzzy control,in particular,with passive suspension.
出处
《汽车工程》
EI
CSCD
北大核心
2012年第3期260-265,259,共7页
Automotive Engineering
基金
国家自然科学基金项目(51175028)
北京市属高等学校人才强教计划项目(PHR2007125)
北京市优秀人才培养项目(2010D005017000007)
北京建筑工程学院博士启动基金(101001704)资助
关键词
重型车辆
半主动悬架
变论域模糊控制
磁流变减振器
多目标优化
heavy vehicle
semi-active suspension
variable universe fuzzy control
MR damper
multi-objective optimization
