应用迭代学习控制的减震系统主动控制

在大多数工程系统中,要求减少或者消除振动的影响。过去被动的解决方法是利用弹性体装置,这样会人为地降低机械性能。所以针对这一控制问题,提出了振动主动控制的方法,从而大大地提高了在低频时的减震效果。针对周期性震动源的问题,提出应用迭代学习控制的参数最优算法,采用主动/被动混合控制的"质量弹簧阻尼"装置,其仿真结果表明该控制方案具有良好的性能,特别在10Hz及20Hz频率下,能在较短的时间内使得系统位移为零,从而达到减震的效果。

Active Control for Vibration Using Iterative Learning Control

In a variety of different engineering systems there is a requirement to isolate sensitive equipment and foundation from the vibration. Passive solutions to this problem provide some isolation but at low frequencies performance is significantly degraded. As the reason, active vibration isolation is known well. This method has improved the performance specifically. The hybrid active/passive solution as the "mass spring damping" mount, is introduced using the parameter optimization iterative learning control to deal with periodic vibration sources. And using the MATLAB get the better simulation result that at the frequency of 10 Hz, system could make the displacement to zero with a faster speed, to achieve vibration isolation.