Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization

摘要

A kinematic design of a double wishbone type front suspension mechanism was used to determine the optimal hardpoint positions while considering controllability and stability performances of a vehicle simultaneously. Various performance parameters were classified into two objective functions related to controllability and stability performances. A distance function method was implemented with multi-objective optimization. Multi-objective optimization was performed by using a genetic algorithm. When the multi-objective optimization consisted of the performance parameters related to only controllability or stability performances, variations of each performance parameter were minimized by emphasizing the importance of each performance parameter. It was concluded that multi-objective optimization using the distance function method is very effective for obtaining the optimal hardpoint positions of a suspension mechanism.