摘要
本文根据汽车半主动悬架的基本结构,通过力学分析建立了其数学模型。为了克服实际的悬架控制系统动态行为的不确定性,采用了自适应LQG控制策略。通过使用模型参数递推辩识,Kalman滤波器和以车身垂直加速度及控制信号构成的二次型指标,实现了汽车半主动悬架的自适应随机最优控制。计算机仿真结果表明,此方案能有效地改善汽车乘坐舒适性。
In this paper, the mathematical model of the automotive semi-active suspensions is established based on the mechanical analysis. The adaptive LQG control strategy is adopted to overcome the uncertainties of the dynamic behavior of the practical suspension system. The recursive identification of the model parameters, the Kalman filter and the linear quadratic performance index, which is composed of the vertical acceleration of the body and the control signal, are used to implement the stochastic optimal control in an adaptive way. The simulation results show that the control scheme can effectively improve the ride comfort.
出处
《汽车工程》
EI
CSCD
北大核心
1997年第4期200-205,共6页
Automotive Engineering
基金
安徽省自然科学基金
清华大学安全与节能国家重点实验室
关键词
半主动悬架
参数辨识
自适应控制系统
汽车
Semi-active suspension Parameter identification Adaptive control system
