Optimized Fuzzy Skyhook Control for Semi-Active Vehicle Suspension with New Inverse Model of Magnetorheological Fluid Damper

To improve the performance of vehicle suspension, this paper proposes a semi-active suspension with magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller grey wolf optimizer (GWO) algorithm base on new neuro-inverse model MRF Because inverse damper is difficult to establish directly, Elman neural network was applied. The novelty study application for vibration control and optimization method. calculation results showed that can accurately calculate required current. method by established based vibration. simulation simultaneously reduce amplitude vertical acceleration, deflection, tire dynamic load.