LMS自适应主动控制汽车悬架系统试验研究

以汽车操纵稳定性及行驶平顺性为控制目标，确定汽车系统的簧上质量加速度、车轮动载荷、悬架动挠度为具体评价参数。选择LMS自适应滤波算法，通过调整自适应滤波器的权系数使二次性能指标最小，根据单个样本方差的负梯度来调节权系数，得到控制输出。针对简化的汽车模型，在路面信号作为激励源的仿真研究过程中，算法对悬架系统的振动控制收到了较好的效果。在两自由度的悬架系统试验台架上进行了试验研究，结果进一步证明该算法的有效性，表明LMS自适应控制策略在主动悬架系统中的应用切实可行。

Study on LMS Adaptive Control of Vehicle Active Suspension System

The riding comfort and handling safety ofa vehicle were regarded as control aims. The accelerationof the sprung mass, dynamic loads between wheels androad and dynamic deflections between the sprung massand the unsprung mass were determined as the evaluationtargets of vehicle suspension performance. The LeastMeans Squares (LMS) adaptive algorithm was used tothe active suspension system. With the weight adjust-ment of adaptive filters, the minimum quadratic perfor-mance index is obtained. For two degrees of freedom ve-hicle model, the simulation of vehicle performance ob-tained by the exitations of road signals was studied, andthe results show that the LMS controller can reduce theacceleration of the sprung mass by a factor of 6. Accord-ing to the experimental study of vehicle model, the re-sults prove that the algorithm can effectively control thevibrations of the vehicle system as well.