二维码(扫一下试试看!) | 控制学科在环的主动悬架多学科设计优化 | Multidisciplinary Design Optimization of Active Suspension with Control Discipline in Loop | 投稿时间:2018-06-11 | DOI:10.15918/j.tbit1001-0645.2019.07.004 | 中文关键词:主动悬架LQG控制控制学科在环多学科设计优化 | English Keywords:active suspensionLQG controlcontrol discipline in loopmultidisciplinary design optimization(MDO) | 基金项目:国家自然科学基金资助项目(51675044);国家重点研发计划项目(2017YFB0103704) | | 摘要点击次数:550 | 全文下载次数:265 | 中文摘要: | 基于多学科设计优化的思想,提出一种控制学科在环的多学科设计优化方法,将控制学科纳入系统的优化回路内,可以充分考虑系统的结构设计和控制学科之间的协同作用,以实现更好的整体优化效果.以主动悬架的设计优化为例,建立了1/4车辆主动悬架模型和LQG控制器模型,并基于多学科可行法的优化框架,进行多学科分析,对结构参数和控制器参数同时进行优化.优化结果表明,该方法能协调悬架动力学和控制学科之间的耦合关系,获取整体最优解.优化后的主动悬架在保证悬架工作空间和轮胎变形在一定的范围内,且不消耗更多能量的前提下,使车身加速度均方根值降低了27%. | English Summary: | Taking the design and optimization of active suspension as an example, based on the idea of multidisciplinary design optimization, a multidisciplinary design optimization method was proposed with the control discipline in loop, bring the control discipline into the optimization loop of the system. To achieve better overall optimal results, the collaboration between the system's structural design and control discipline was fully considered. And a quarter-vehicle active suspension model and the LQG controller model were established. Based on the optimization framework of the multidisciplinary feasibility method, multi-disciplines analysis was conducted, and the suspension parameters and controller parameters were optimized at the same time. The optimization results show that this method can coordinate the coupling relationship between suspension dynamic and control discipline to obtain the global optimal solution. The optimized active suspension can reduce the root of mean square (RMS) of vertical body acceleration by 27% under the premise of not consuming more energy, and can ensure that the suspension's working space and tire deformation are within a certain range. | 查看全文查看/发表评论下载PDF阅读器 | |
皮大伟,谢伯元,王显会,王洪亮,王尔烈,李娇,王利辉.电动式主动稳定杆能耗最优控制方法[J].北京理工大学学报(自然科学版),2019,39(7):694~698.PIDa-wei,XIEBo-yuan,WANGXian-hui,WANGHong-liang,WANGEr-lie,LIJiao,WA ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21郭智蔷,吴维,刘洋,李博,苑士华.车辆最佳动力性泛函表达及数值解法[J].北京理工大学学报(自然科学版),2019,39(7):688~693.GUOZhi-qiang,WUWei,LIUYang,LIBo,YUANShi-hua.ObjectiveFunctionalandNumericalSol ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21马国梁.基于修正质点弹道模型的双旋弹控制效果分析[J].北京理工大学学报(自然科学版),2019,39(8):777~783.MAGuo-liang.ControlEffectAnalysisofDual-SpinProjectileBasedonModifiedMassPointTrajector ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21张栋良,李帅位,黄昕宇,陈璞.VMD参数优化及其在轴承故障特征提取中的应用[J].北京理工大学学报(自然科学版),2019,39(8):846~851.ZHANGDong-liang,LIShuai-wei,HUANGXin-yu,CHENPu.OptimizationofVMDParameters ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21张惠平,余跃,王宏伦.基于自抗扰的高超再入飞行器轨迹线性化控制技术[J].北京理工大学学报(自然科学版),2019,39(8):852~858.ZHANGHui-ping,YUYue,WANGHong-lun.ResearchonADRC-BasedTrajectoryLinearizationCo ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21李春芾,席军强,陈慧岩.离合器到离合器动力降挡过程控制机理研究[J].北京理工大学学报(自然科学版),2019,39(9):918~924.LIChun-fu,XIJun-qiang,CHENHui-yan.StudyontheControlMechanismofClutch-to-ClutchPo ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21成英,高利,陈雪梅,赵亚男.有人与无人驾驶车辆交叉口驾驶博弈模型[J].北京理工大学学报(自然科学版),2019,39(9):938~943.CHENGYing,GAOLi,CHENXue-mei,ZHAOYa-nan.ADrivingGameModelforMannedandUnmannedVeh ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21刘凯,王威,龚建伟,陈慧岩,陈舒平.越野地形下智能车辆的动力学建模与轨迹跟踪[J].北京理工大学学报(自然科学版),2019,39(9):933~937.LIUKai,WANGWei,GONGJian-wei,CHENHui-yan,CHENShu-ping.DynamicModelingandTr ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21殷婷婷,贾方秀,于纪言,王晓鸣.基于扩张状态观测器的双旋弹丸舵翼转速预测控制[J].北京理工大学学报(自然科学版),2019,39(10):1057~1062,1068.YINTing-ting,JIAFang-xiu,YUJi-yan,WANGXiao-ming.DirectModelPredic ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21吴鹏,孟祥远,王子晔,高建伟.基于神经动力学的冗余机械臂恒定转速比算法[J].北京理工大学学报(自然科学版),2019,39(10):1081~1085.WUPeng,MENGXiang-yuan,WANGZi-ye,GAOJian-wei.ConstantRotationRatioofRedund ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
| |