Optimization method of formula car steering trapezoidal mechanism

The invention discloses an optimization method of a formula car steering trapezoidal mechanism. The optimization method comprises the following steps: 1, obtaining known parameters of the steering trapezoidal mechanism; 2, constructing a determinacy optimization model and a robustness optimization model; and 3, performing sensitivity analysis on each optimized design parameter of the steering trapezoidal mechanism. And 4, simultaneously carrying out determinacy optimization and robustness optimization on the steering trapezoid mechanism. And 5, taking a value in the global optimal individual obtained in the step 4 as an optimization result of each design parameter of the steering trapezoidal mechanism. According to the method, deterministic optimization is carried out by using a multi-population genetic algorithm to obtain an elite population, and an initialized particle swarm is provided for a particle swarm algorithm; performing robustness optimization by using a particle swarm algorithm; in the iteration p