Research On Transverse Vibration Control Of The EMU Based On Adaptive Fuzzy PID Method

With the development of transportation industry and the continuous improvement of train running speed,people have higher requirements for the safety of running vehicles and their ride comfort.However,due to the influence of various external environment,high-speed vehicles often produce body shaking in multiple directions during operation,which is particularly prominent in the direction of transverse vibration,which greatly affects the passenger’s ride comfort,and even serious safety accidents can occur.There are two ways to improve the transverse vibration of the vehicle,one is by improving the existing line conditions,the other is by optimizing the suspension parameters of the vehicle,and the first is too difficult to achieve in cost.Therefore,the research on the suspension control of the lateral vibration of the train has extensive attention from researchers around the world.This thesis proposes an adaptive fuzzy PID control strategy for the semi-active suspension system,and compares the control effect with other control strategies under the vehicle dynamics performance index.The main contents of this thesis are as follows:(1)By analyzing the lateral vibration mechanism,a semi-active transverse vibration dynamics micro equation is established on the seventeen degrees of freedom that affect the transverse vibration of the train.Using ADAMS/Rail to establish a model of a certain type of train set,through the study of track irregularity,the track spectrum of various countries made a simple introduction,and finally selected the most perfect application in the study of high-speed trains in Germany low-interference track spectrum as the external track incentive signal.The dynamics analysis of the model shows that its dynamics performance index meets the safety operating limits of the train,that is,the model is correct and reasonable.(2)After selecting the appropriate track spectrum as the excitation input of the wheel-rail model,in order to make the track spectrum possible for simulation in the time domain,the Fourier inverse transformation method is selected as a numerical simulation method of the power spectrum density function,which is converted to a time domain sample that can be simulated,and its track direction irregularity analyzed.Secondly,the damper as the executive mechanism of the train control joint simulation system is studied,and the magnetorheological damper is selected as the shock absorber type of the semi-active suspension in this thesis.It also analyzes the mechanism of the magnetorheological damper,analyzes the relationship between the output force of the damper and the input current,and lays the foundation for the design of the semi-active suspension control system.(3)Considering the complexity of the vehicle system,a new adaptive fuzzy PID control strategy is established by combining the principle of fuzzy adaptive control with the traditional PID control,because the PID parameters need manual experience adjustment is time-time-taking and can not ensure the best performance,according to the advantages of particle group optimization algorithm in the optimization selection of large-scale parameters,the initial parameters of the PID controller are optimized for design,and the design of the train semi-active suspension controller is finally completed.(4)Using ADAMS-MATLAB co-simulation,the simulation results of various performance evaluation indicators during train operation are analyzed.Through the analysis of the stability index,the control effect of the designed controller on the transverse vibration of the train has been obviously improved,and the effectiveness of the designed controller in the control of the train’s semi-active suspension is proved.