双离合器式自动变速器RAFNC起步智能控制  

Intelligent Control of the RAFNC Launch for Dual Clutch Automatic Transmission

作　　者：胡骏骅 吴光强[1,2] 

机构地区：[1]同济大学汽车学院,上海201804 [2]东京大学生产技术研究所

出　　处：《机械传动》2015年第8期26-31,共6页Journal of Mechanical Transmission

摘　　要：针对起步工况以及车辆本身动力学特性的复杂性,设计了基于鲁棒模糊神经网络控制的双离合器式自动变速器起步滑摩过程的鲁棒自适应控制器。在整个双离合器式自动变速器控制系统框架中,所设计的控制器属于中间层控制器。通过跟踪目标发动机转速以及由目标冲击度推导得到的车辆目标起步速度,得到发动机的目标力矩以及离合器的目标传递力矩。Matlab/Simulink环境下的特定工况仿真结果表明,和普通的PID控制器相比,RAFNC控制器具有更好的跟踪效果。Aiming at the complexity of the dynamics characteristic of launch working condition and the vehicle itself,a robust adaptive fuzzy neural controller is designed for the slip- friction phase of launch performance of vehicle with dual clutch transmission（ DCT）. In the control system framework of dual clutch automatic transmission,the designed controller is middle layer controller. By tracking the target engine speed and the vehicle target launch velocity deduced by the target impact degree,the target torque of engine and the target transmit torque of clutch are obtained. The simulation result on the Matlab / Simulink platform shows that RAFNC for launch has a better tracking effect when compared with PID controller.

关 键 词：双离合器 起步 动态模糊神经网络 智能控制 

分 类 号：U463.2[机械工程—车辆工程]