Real Time Vibration Control of Active Suspension System with Active Force Control using Iterative Learning Algorithm

This paper presents concurrent vibration control of a laboratory scaled vibration isolator platform with Active Force Control (AFC) using Iterative Learning Algorithm (ILA). The work investigates the performance of the traditional Proportional Integral Derivative Controller (PIDC) with and without AFC using ILA for vibration suppression. The physical single degree of freedom quarter car has been interfaced with a personal computer using a National Instruments data acquisition card NI USB 6008. The controllers are designed and simulated using LabVIEW simulation software. The results infer that the PIDC with AFC using ILA works superior than the PIDC.