摘要
利用轴距预瞄信息,即前后轮路面输入之关系,同时结合卡尔曼滤波器作为状态估计器,本文提出了一种算法用于车辆悬架控制律的设计。根据模拟结果,研究了算法的可行性,分析了卡尔曼滤波器对状态变量的估计精度,以及轴距预瞄控制对进一步改进车辆性能的潜力。
An algorithm is proposed for active vehicle suspension control law design using wheelbase preview information (the correlation between front wheel and rear wheel inputs from road surfaces) with a Kalman filter as a state observer. Based on simulations, the feasibility of the algorithm, the estimation accuracy of Kalman filter for state variables and the potential vehicle performance improvenents with wheelbase preview control are investigated.
出处
《汽车工程》
EI
CSCD
北大核心
1999年第2期72-80,共9页
Automotive Engineering
