汽车无级变速器换挡过程主动对齿控制技术研究  

Research on Active Tooth Alignment Control Technology in Shift Process of Automobile CVT

作　　者：吴航 WU Hang(Shaanxi institute of technology,Xi'an 710300 China)

机构地区：[1]陕西国防工业职业技术学院,西安710300

出　　处：《自动化与仪器仪表》2021年第9期96-99,共4页Automation & Instrumentation

基　　金：陕西省职业教育"1+X"证书制度专项研究课题:汽车运用与维修"1+X"证书制度书证融通的探索与实践(No.ZJX02008)。

摘　　要：为了提高汽车无级变速器换挡过程主动对齿控制和导引能力,提高汽车无级变速器换挡和移动效率,提出基于遗传进化算法的汽车无级变速器换挡过程主动对齿控制方法。构建汽车无级变速器换挡装置主动对齿梯度空间网格分布模型,采用自适应的对齿梯度网格分级控制方法,实现对汽车无级变速器换挡和稳态过渡性驱动控制,建立汽车无级变速器换挡过程主动对齿空间区块化跟踪控制律,采用自适应的稳态过渡性驱动参数分析和自适应控制的方法,实现汽车无级变速器换挡过程主动对齿和空间参数识别,通过模糊跟踪控制,结合优化的遗传进化和仿生控制算法进行控制算法的优化设计,建立参数导引学习模型,采用遗传进化优化算法,建立汽车无级变速器换挡的运动学特征分析模型,实现汽车无级变速器换挡主动对齿控制过程中的路径寻优和收敛性控制。仿真结果表明,采用该方法进行汽车无级变速器换挡过程主动对齿控制的鲁棒性较好,自适应性较强。In order to improve the ability of active tooth alignment control and guidance in the shifting process of automobile continuously variable transmission,and improve the shifting and moving efficiency of automobile continuously variable transmission,a method of active tooth alignment control in the shifting process of automobile continuously variable transmission based on genetic evolutionary algorithm is proposed.A spatial grid distribution model of active tooth alignment gradient for the gear shifting device of automobile continuously variable transmission is constructed.Adaptive tooth alignment gradient grid hierarchical control method is adopted to realize the shifting and steady-state transitional driving control of automobile continuously variable transmission.A tracking control law of active tooth alignment spatial block in the shifting process of automobile continuously variable transmission is established.Adaptive steady-state transitional driving parameter analysis and adaptive control method are adopted to realize active tooth alignment and spatial parameter identification in the shifting process of automobile continuously variable transmission.Through fuzzy tracking control,combined with optimized genetic evolution and bionic control algorithm,the optimization design of control algorithm is carried out,the parameter-guided learning model is established,and the kinematic characteristic analysis model of automobile CVT shifting is established by using genetic evolution optimization algorithm,so as to realize the path optimization and convergence control in the process of active tooth-pair control of automobile CVT shifting.The simulation results show that this method is robust and adaptive to the active tooth control in the shift process of automobile CVT.

关 键 词：汽车 无级变速器 换挡 控制算法 对齿 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]