A Frequency-Adaptive Multi-Objective Suspension Control Strategy

Abstract

This paper studies a new FAMOS strategy for suspension control. FAMOS stands for frequency-adaptive multi-objective suspension. This strategy adjusts the control law based on certain frequency information and achieves a balanced ride and handling performance. It contains a road profile identifier, several multi-objective control laws which optimize a mixed H2/H∞ performance index based on different performance preferences, and an adaptive law based on the frequency contents estimated from the identified road profile. The strategy is applied to a quarter car suspension control and the simulation results show that the achieved performance is better than many existing results.