The Analysis And Opitimization Of Large Special Freight Vehicle Ride Comfort

The riding comfort is one of the important performances of vehicle. The huge vibration caused by vehicle running could not only make passengers feeling fatigued and cargo being unnecessary damaged, but also affect the vehicle-mount facility’s proper functioning.This dissertation takes the large special freight vehicle which carries important facility as research target. To avoid the facility being damaged while the large special freight vehicle is running, it is necessary to analyze ride comfort.Firstly, in this dissertation, road roughness model was studied. A Two-rut time domain incentive model of random road was constructed by using a white noise-based model in MATLAB/SIMULINK. After that, this dissertation verified the correctness and effectiveness of the model through simulation.Then, from the point of view of energy, combining with the theory of Multi-DOF(degree of freedom) system dynamics modeling and the Lagrange method, kinetic energy, potential energy and dissipative energy of the vibaration system were deduced. A facilityvehicle-road coupled model with 19 DOFs was built, and its corresponding dynamic matrix was established. Using the numerical simulation analysis tool-MATLAB/SIMULINK platform, this dissertation analyzed the influence of related parameters to facility’s vibration acceleration.Finally, in order to improve the large special freight vehicle’s riding comfort, Particle Swarm Optimization(PSO) was used to optimize related parameters. Results indicate that improving road level, choosing an appropriate speed, appropriately reducing the stiffness and damping of the facility’s suspensioin can reduce the vibration of the facility and improve the large special freight vehicle ride comfort. The research has certain reference value to engineering problems.