Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System

The combination of characteristic parameters is the key and difficult point to improving vibration attenuation scissor seat suspension. This paper proposes a multi-objective optimization method based on entropy weight gray correlation optimize with better attenuation. differential equation suspension motion derived through mechanical analysis, simplified driver single degree freedom model constructed. range spring stiffness damper damping calculated theoretically. Through main effect analysis contribution, influencing factors are studied, influence analyzed. On this basis, taken as control variables, upper plane acceleration, displacement, transfer rate objectives. Optimal Latin Hypercube Sampling (OLHS) was used sample Design Experiments (DoE), fit RBF surrogate model, screen optimal solution MNSGA-II algorithm relation ranking method. comparative performance before after shows that reduction response indexes transmissibility optimized seats increased by 66.41%, 2.31%, 8.19%, respectively. design proposed in study has significant seats, which provides reference for