双离合器变速箱换挡集成学习控制器设计及分析  

sign and Analysis of Shift Integrated Learning Controller for Dual Clutch Transmission

作　　者：崔华[1] Cui Hua(School of Transportation,Xinxiang Vocational and Technical College,Xinxiang Henan 453000,China)

机构地区：[1]新乡职业技术学院交通学院,河南新乡453000

出　　处：《机械管理开发》2024年第5期47-49,共3页Mechanical Management and Development

摘　　要：为了提高车辆运行的稳定性,设计了一种双离合器DCT变速箱换挡集成学习控制器。基于预测模型建立MPC控制器,以补偿转矩保障转速精准追踪。研究结果表明,在0.11 s时DCT开始出现升挡转矩相,车速整体维持稳定变化的态势,车辆冲击度的最大值是4.8 m/s^(3),有利于大大提高换挡的稳定性。相比其他控制方法,基于经验知识MPC换挡方案获得更优的平顺性控制效果,滑摩功也发生降低,可以更快完成动力响应。该研究有助于提高汽车自动控制,为后续的换挡控制奠定理论基础。In order to improve the stability of vehicle operation,a dual-clutch DCT gearbox shift integrated learning controller is designed.The MPC controller is established based on the prediction model to compensate the torque to ensure the accurate tracking of the rotational speed.The results of the study show that:at O0.1l s,the upshift torque phase of the DCT starts to appear,the overall vehicle speed maintains a stable change trend,and the maximum value of the vehicle impact is 4.8 m/s^(3),which is conducive to greatly improving the stability of the gearshift.Compared with other control methods,the empirical knowledge-based MPC shifting scheme obtains better smoothness control effect,and the slip work is also reduced,so that the power response can be completed faster.This study helps to improve the automotive control and lays a theoretical foundation for the subsequent gearshift control.

关 键 词：双离合器变速箱 换挡控制 集成学习 模型预测 

分 类 号：TH137[机械工程—机械制造及自动化]