摘要
建立了某履带车辆ADAMS整车模型。搭建了控制算法MATLAB与实体模型ADAMS之间的联合仿真接口。提出了采用模糊控制器调整PID调节器参数实现基于ADAMS建模的整车半主动悬挂控制策略。用动行程及其变化率作为模糊控制器的输入,通过模糊控制器的输出动态调整PID调节器的参数,形成了车辆半主动悬挂自适应控制系统。仿真研究表明,该自适应控制系统能够有效协调加速度和动行程在不同频段的矛盾,明显改善履带车辆行驶的平顺性。
A multi-body model for a tracked vehicle in ADAMS is presented.And a co-simulation interface between the control algorithm in MATLAB and the dynamic model in ADAMS is set up.Then a semi-active suspension control law for the vehicle based on ADAM modeling by regulating parameters of PID regulator using fuzzy controller is put forward.With dynamic stroke and rate of change as input of the controller,through regulating dynamically the parameters of PID regulator by output of fuzzy controller,an adaptive controlling system for semi-active suspension of the vehicle is formed.The simulation results show that the system can regulate effectively the contradiction between the acceleration and dynamic stroke in different frequencies,which improve the ride comfort of the tracked vehicle obviously.
出处
《机械设计与制造》
北大核心
2012年第4期88-90,共3页
Machinery Design & Manufacture
基金
国家部委预先研究基金(51404040104BQ01)
关键词
履带车辆
半主动悬挂
模糊控制
自适应控制
Track vehicle
Semi-active suspension
Fuzzy control
Adaptive control
