Hybrid genetic algorithm optimization on steering trapezoid linkage of vehicle

The structure and size of steering trapezoid linkage can greatly affect the steering performance of automobile, therefore it is very important to adopt optimization methods to design the steering linkage. Being satisfied with the conditions of transmission capacity and boundary constraints, considering the ideal relationship of steering angles between external and internal wheels in steering linkage of automobile to ensure that the wheels be pure rolling without sliding when automobile steering, thus reduce additional resistance of automobile and excessive wear of tires, design optimization model is established to minimize the sum of squares of relative error between actual angle and expectant angle of internal steering wheel. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, this paper adopts hybrid genetic algorithm to solve the optimization model. The results demonstrate that the hybrid genetic algorithm is an effective tool to deal with nonlinear problems in design optimization and can provide more realistic solutions. So that the optimization process is simplified and global optimum is acquired reliably.