摘要
根据汽车悬架动力学特性的理论知识,建立了七自由度汽车分块悬架动力学方程,车身分块系统中不包含路面外扰,故其辨识精度不会受外扰影响。推导了分块悬架动力学方程从惯性物理坐标到传感器坐标的变换。依据递推最小二乘算法,利用执行器作为激励,采用时域辨识方法对参数进行辨识,辨识出了从执行器到传感器的汽车分块悬架动力学模型。实现了悬架模型在线参数辨识与路面外扰反解识别,为七自由度汽车悬架的振动主动控制打下了坚实的基础。
According to the theory of a vehicle suspension's dynamic characteristics, the dynamic equations were established for a vehicle block suspension with 7-DOF. There is no road disturbance in the vehicle body block system, so the identification precision was not affected by external excitation. These dynamic equations were converted from the inertial physical coordinates into the sensor coordinates. On the basis of the recursive least squares algorithm (RLSA), using actuators as excitations, the vehicle block suspension dynamic model was identified from actuators to sensors. The model parameters were recognized with time-domain identification method. Furthermore, the online parametric identification of a vehicle block suspension model and its road disturbances recognition were realized. The results laid a foundation for the vibration active control of a 7-DOF vehicle suspension. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
出处
《振动与冲击》
EI
CSCD
北大核心
2017年第9期225-230,共6页
Journal of Vibration and Shock
关键词
分块悬架
动力学模型
参数辨识
Actuators
Automobile suspensions
Dynamic models
Magnetic levitation vehicles
Parameter estimation
Roads and streets
Time domain analysis
Vehicle suspensions
Vehicles
Vibrations (mechanical)
