双离合器自动变速器起步的智能控制策略

综合考虑了驾驶员的起步意图、车辆负载、路面坡度及离合器的接合状态,提出了基于模糊控制和神经网络的双离合器自动变速器(dual clutch transmission,DCT)的双离合器协同起步智能控制策略.根据油门开度及其变化率的大小实时识别出驾驶员的起步意图,基于优秀驾驶员的操作经验制定了驾驶员意图的模糊控制规则.以车辆负载、路面坡度及驾驶员起步意图为神经网络输入参数,以离合器主从动盘的转速差与主动盘转速的比值和离合器接合速度为控制参数控制双离合器的接合、分离过程,实现了基于人-车-路的双离合器协同起步的自适应控制.利用快速起步、慢速起步及驾驶员意图多变的起步工况对所制定的智能控制策略的合理性进行了验证.

Launching Intelligent Control Strategy for Dual Clutch Transmission

Intelligent control strategy for cooperative launching of Dual Clutch Transmission (DCT) based on the fuzzy control and neural network was presented, which comprehensively considers the driver intention, vehicle load, road gradient and the clutch engagement state. The driver intention was identified in real time according to the accelerator pedal opening and its change rate. Fuzzy control rules of driver intention were designed based on operating experience of the skilled driver. In implementation of the adaptive control strategy based on people-vehicle-road, the input parameters of neural network are denoted by the driver intention, vehicle load, road gradient, and the control parameters of neural network are denoted by the ratio of the rotating speed difference between driving and driven disc to the driving disc rotating speed, which control the engagement and disengagement of dual clutch. Finally, the merits of the launching strategy are validated in some typical modes including conditions of fast launching, slow launching, ramp launching and variable driver intention.