Affiliation:
1. Nanchang Automotive Institute of Intelligence & New Ener
2. Case Western Reserve University
3. East China Jiaotong University, School of Mechatronics and V
Abstract
<div class="section abstract"><div class="htmlview paragraph">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.</div></div>