H∞ Robust Control of Interconnected Air Suspension Based on Mode Switching

Aiming at the semi-active control problem of interconnected air suspension, an mode switching strategy is designed based on variation law comprehensive indexes under different modes. Considering parameter uncertainties in process model linearization, a vehicle suspension considering proposed robust theory. Based BP neural network method, mapping relationship between spring force and volume established, tracking realized. The numerical simulation system carried out to verify effectiveness system. real test results show that can not only improve performance have strong robustness uncertainties.