噪声与振动控制2025，Vol.45Issue(5)：146-152,7.DOI:10.3969/j.issn.1006-1355.2025.05.023
考虑车路耦合的商用车悬架改进预测控制研究
Improved Predictive Control of Commercial Vehicle Suspensions Considering Vehicle-road Coupling
摘要
Abstract
When a vehicle is in operation,the vibrations of the vehicle are transmitted to the road surface through the tires,causing road surface vibrations.As a secondary excitation,road surface vibrations can further exacerbate the vehicle's vibrations,particularly for heavy-duty commercial vehicles with high spring-loaded mass.To improve the driving smooth-ness of commercial vehicles,this study focused on heavy-duty commercial vehicles equipped with continuously adjustable dampers.The secondary excitation from the road surface was integrated into the suspension system,and the vibration control problem of the suspension system was transformed into a constrained disturbance suppression problem,which can be solved by using model predictive control(MPC)approach.However,the massive computer time consuming of MPC posed a chal-lenge for real-time control.In this paper an improved MPC method was proposed and the performances of traditional and the improved MPC in controlling vibrations of a 1/4 vehicle model were compared.The simulation results demonstrate that com-pared to the semi-active suspension employing traditional MPC,the vehicle acceleration and tire dynamic deformation are re-duced by 27%and 18%,respectively when the improved MPC is applied to the semi-active suspension.Although there is a slight degradation in the dynamic suspension travel,the system constraints can still keep it within a safe range.The improved MPC can significantly improve the ride smoothness of heavy-duty commercial vehicles under the premise of ensuring the safety of vehicle's operation.关键词
振动与波/路面二次激励/阻尼连续可调/重载商用车/模型预测控制/平顺性Key words
vibration and wave/secondary road excitation/continuous damping control/heavy-duty commercial vehi-cles/model predictive control/ride performance分类
交通工程引用本文复制引用
孙丽琴,陈必开,陈瀚阳..考虑车路耦合的商用车悬架改进预测控制研究[J].噪声与振动控制,2025,45(5):146-152,7.基金项目
国家自然科学基金资助项目(51975254) （51975254）
