Study On The Starting Control Strategy Of AMT Clutch

With the rapid development of automotive electronic control systems,consumer demand for vehicle intelligence and automation has also increased dramatically.Therefore,it is particularly important to continuously improve the safety performance of vehicles.Electronically controlled mechanical automatic transmission(AMT)as an important part of the automotive transmission system,because of its strong power,low cost,easy operation and other advantages,has a broad application market.This dissertation focuses on the difficulties in controlling the electric clutch in the process of AMT vehicle start-up control,including the following contents:The working principle and composition of AMT system and the composition of electric clutch are introduced.Based on this,the torque transmission characteristics and load characteristics of diaphragm spring of electric clutch are analyzed,and the load-characteristic diagram and torque transmission characteristic diagram of diaphragm spring are drawn through curve fitting..The composition of AMT electric clutch actuator is analyzed,and the mathematical model of DC motor is abstracted.Based on the analysis of starting dynamics of the vehicle and the analysis of starting force,the control characteristics of the diaphragm spring clutch are studied,the starting process,the control method and the influencing factors are analyzed,and the sliding work and the impact degree are selected as the starting combined effect evaluation.index.Based on the theoretical analysis,an adaptive fuzzy neural control strategy was designed.The diaphragm spring combined displacement was used as the control target,and the impact degree and the sliding friction work were selected as indicators for the evaluation of the bonding process.In order to verify the feasibility of the control strategy,simulation models such as engine model,clutch control model,and transmission model were built in the Matlab/Simulink simulation environment.The simulation experiments were performed with the most frequently used fuzzy control for slow,medium,and high-speed starting respectively.The results show that compared with the fuzzy control,under the three kinds of accelerator opening,the adaptive fuzzy neural control requires less starting time,less impact during the start-up process,and the sliding work generated during the joining process.Less,while increasing comfort,the clutch life can be greatly extended.