| With the development of China’s rail transit,under the background that the speed of the train is greatly improved and the requirements for the lightweight design of the car body are higher and higher,people’s requirements for the safety and comfort of high-speed train operation are also constantly improved.However,due to the existence of track irregularity excitation and external environment interference,the problem of lateral suspension vibration control of high-speed trains has become increasingly prominent,which has attracted the attention of scholars at domestic and overseas.Train suspension system damping has become an enduring research topic,striving to improve passenger comfort on the basis of solving the safety and stability of high-speed train.The lateral and longitudinal vibration of the suspension system of high-speed train is the most important factor affecting the safe operation and ride comfort of the train.In this thesis,the lateral vibration of suspension system of high-speed train is studied,and the fuzzy PID control strategy of genetic algorithm is designed.The specific research contents are as follows:Firstly,the development history of suspension system under the research background of railway train is analyzed,and the passive suspension,active suspension(full active suspension)and semi-active suspension are compared.Considering the performance and development prospect of the semi-active suspension and the active suspension,the research of the active suspension will not only have the theoretical guidance significance for the development of the semi-active suspension,but also study the active suspension damping system,optimize the active suspension structure,and try to put forward a new scheme in the field of the train suspension system damping research.Secondly according to the train vibration mode and operation environment,the track irregularity excitation which affects the lateral vibration of the active suspension of high-speed train is simulated and analyzed,and the appropriate track spectrum function is selected for matlab simulation.The dynamic differential equation of high-speed train active suspension is established,and the dynamic model is built in Simulink for simulation analysis.The controller is designed to control the lateral vibration of the active suspension of the high-speed train.In addition,the simplified dynamic differential equation of 1 / 4 lateral vibration of active suspension is established,and the dynamic model is also built in Simulink.In the dynamic model simulation,the genetic algorithm optimization fuzzy PID control is used,in which the track irregularity excitation is used as the input variable and the lateral acceleration of the train is used as the output variable to build the simulation model in Simulink.Simulation of the control effect of the controller on the suspension system in the process of high-speed train operation,and compared with the passive suspension and theactive suspension before and after control,verified the effectiveness of the designed genetic algorithm optimized fuzzy PID controller.Finally,the simulation results show that the vehicle body lateral acceleration amplitude,vehicle body head acceleration and bogie lateral acceleration amplitude of the active suspension are reduced after the genetic algorithm optimization of the fuzzy PID control.Compared with the vibration control effect before the control,they are increased by 47.87%,48.29% and 36.91% respectively,which verifies the effectiveness of the genetic algorithm optimization of the fuzzy PID control on the active suspension system control It improves the robust performance of the suspension system. |