针对磁流变阻尼器的时滞对悬架在凸块路面下的性能影响较大,设计了基于Smith预估补偿的仿人智能控制器,并在Matlab/Simulink平台上进行了仿真。对改装的某轿车进行了凸块路面输入路试,试验结果与仿真结果表明,与原车相比较,采用仿人智能控制器的半主动悬架能够降低车身振动的加速度峰峰值,缩短调整时间,改善舒适性和操纵稳定性,基于Smith预估补偿的仿人智能控制器能够消除时滞对系统性能的影响,加速度峰值降低近34.67%,控制效果优于天棚阻尼控制。
The time-delay of Magneto-rheological (MR) damper may greatly reduce the control performance of MR suspension on impulse road. To avoid the influence of time-delay, a Human Simulated Intelligent Control (HSIC) based on Smith's predictor is designed and numerical simulation is carried out on Matlab/Simulink platform. The road test of a refitted saloon car is carried out on impulse road. Both impulse road test and simulation show that the MR suspension with HSIC controller can reduce the acceleration peak values of vertical vibration and pitch vibration and shorten adjusting time and improve ride comfort and stability. The HISC controller with Smith's predictor can avoid the effect of time-delay on control performance, and peak-to-peak value of vertical vibration acceleration reduced by 34. 67%, whose control performance is better than that of skyhook.