车辆垂向动力学系统多目标控制算法设计与应用  

Design and Application of Multi-objective Control Algorithm for Vehicle Vertical Dynamic System

作　　者：马新波 王百键 华星淇 黄炜 MA Xinbo;WONG Pak Kin;HUA Xingqi;HUANG Wei(School of Intelligent Manufacturing,Nanyang Institute of Technology,Nanyang Henan 473004,China;Faculty of Science and Technology,University of Macao,Macao Taipa 999078,China;School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]南阳理工学院智能制造学院,河南南阳473004 [2]澳门大学科技学院,中国澳门冰仔999078 [3]福州大学机械工程及自动化学院,福州350108

出　　处：《机械设计与研究》2023年第2期123-127,共5页Machine Design And Research

基　　金：国家自然科学基金面上项目(52175127);河南省重点研发与推广专项(科技攻关)项目(212102210048);河南省高等学校重点科研项目(22B460018);南阳理工学院博士科研启动基金项目(NGBJ-2019-01);南阳理工学院交叉科学研究项目。

摘　　要：针对半主动悬架系统的多目标控制问题提出了粒子群优化的滑模变结构控制算法,该多目标控制算法充分考虑了路面支撑性、乘坐舒适性和悬架支撑能力三者之间的耦合问题,在保证悬架支撑能力的前提下,有效改善了半主动悬架系统的路面支撑性和乘坐舒适性,显著提高了车辆的垂向性能。为了验证所提出粒子群优化的滑模变结构控制算法在半主动悬架系统控制上的实际应用可行性,在四分之一车辆悬架系统试验台上进行了硬件在环测试实验,实验结果表明车辆的垂向性能整体得到了有效提升。This paper proposes a particle swarm optimization(PSO)optimized sliding model control(SMC)algorithm for the multi-objective control problem of semi-active suspension systems(SAS)considering the compromise among road holding,ride comfort and suspension deflection.The proposed algorithm could improve the road holding and ride comfort of the SAS effectively while ensuring sufficient suspension deflection.As a result,the vertical performance of the vehicle can be significantly improved.In order to verify the practical application feasibility of the proposed PSO optimized SMC algorithm,a hardware in the loop test is conducted in the quarter car test rig.The experimental results show that the overall vertical performance is improved effectively.

关 键 词：多目标控制 粒子群优化 滑模变结构控制 半主动悬架系统 硬件在环测试 

分 类 号：U461.1[机械工程—车辆工程]