Multi-Objective Switching Control of Active Suspension Based on Forward-Looking Preview

The active suspension system has strong application potential in electric vehicles (EV) due to its superior controllability. However, the feedback delay of vehicle status information will degrade the control performance of active suspension. This paper investigates the multi-objective control of preview active suspension based on forward-looking information perception. An integrated model including the forward-looking system, vehicle dynamics system and control switching system is established. First, a multi-degree-of-freedom vehicle dynamics model including the input-output system is created, then, an LQR active suspension controller is designed, secondly, a pareto solution set with multiple different target solutions is obtained by calculation, finally, a forward-looking preview mode-switching controller that can select different control strategies according to the road conditions ahead is designed. The results show that the controller can intelligently switch the control strategy of the controller according to the different working condition information detected by the forward-looking system, the controller can provide anti-roll control in cornering conditions, anti-pitch control in acceleration and braking conditions, and comfort control in straight-line driving.