摘要
在介绍DCT变速器结构的基础上,将自适应神经模糊系统应用在DCT换挡控制策略中,采用油门开度、车速作为换挡参数,利用MATLAB中Simulink工具和Fuzzy logic工具箱的自适应神经模糊系统建立了自动换挡模糊神经网络模型,并推导了模型的混合学习算法。仿真实验结果表明,该模型可以有效地依据换挡参数确定合理的挡位,实现车辆的平顺换挡。
The great significance of intelligent control technology being introduced into the control strategy of Dual Clutch Transmission （DCT） is analyzed, the working principle of DCT is expounded. Throttle opening and vehicle speed are considered as shift factors. Adaptive Neuro-Fuzzy Inference System （ANFIS） and Simulink in MATLAB are used to found an automatic shift model. The principle of adaptive fuzzy controller in shift control is also mentioned. Besides, it derived the model＇s hybrid learning algorithms. The simulation results proved that, according to the shift factors, the model can effectively determinate the optimal vehicle shifting rule.
出处
《农业装备与车辆工程》
2013年第6期9-11,共3页
Agricultural Equipment & Vehicle Engineering
基金
浙江省重大科技专项投资开发项目(2008C01072)
