Robust Design Of The Double Wishbone Suspension System Based On Kriging And Particle Swarm Optimization

Suspension used in an automobile is a system mediating the interface between thevehicle and the road, and the functions of it are related to a wide range of drivability such ashanding ability, stability, comfortability and so forth. For the double wishbone suspensionsystem, the conventional deterministic optimization doesn’t considered any deviations ofdesign parameters, so design sensitivity analysis and robust optimization design are proposed.Proposed a multi-objective robust design of the double wishbone suspension systembased on Kriging and particle swarm sptimization. A simplified model of the double wishbonesuspension is established by software Adams. Add an excitation source on the test platform totake numerical simulation. Integrate Isight and Adams, and then make a Monte Carlo analysisto get the robustness of the double wishbone suspension. The sensitivity analysis is utilized todetermine main design variables. Then, the simulation experiment is arranged and the Latinhypercube design is adopted to find the initial points. The kriging model is employed forfitting the quality characteristics according to the simulation results. Further, a particle swarmoptimization method based on simple PSO is applied and the tradeoff between the mean anddeviation of performance is made to solve the robust optimization problem of the doublewishbone suspension system. By verify the robustness of the solution,The robustness of the doublewishbone suspension is improved.