遗传算法在汽车操纵稳定性评价及结构参数优化中的应用

遗传算法是一种全局优化算法。这里以使时域内的人－车－路闭环系统操纵稳定性综合评价指标达到最小为目标；使用遗传算法对评价参数和汽车结构参数进行优化。并使用这些最优参数，以4自由度汽车模型作为仿真模型在单移线条件下对某型小轿车进行仿真研究。仿真研究结构表明：优化参数使得人－车闭环系统跟随预期路径的精度提高约51.7%；而使综合评价指标下降约36.6%。

APPLICATION OF GENETIC ALGORITHMS TO EVALUATION OF MOTOR VEHICLE MANEUVERABILITY AND STRUCTURE OPTIMUM

Genetic algorithms is a global optimum algorithm. The application of genetic algorithms to evaluation of motor vehicle maneuverability and structure optimum is discussed. Based on the genetic algorithms the optimum evaluation parameter and the optimum structure parameters are evaluated to minimize the objective function that is the comprehensive evaluation index of motor vehicle maneuverability. Using these optimum parameters, a study of driver ---vehicle---road closed---loop system simulation is conducted with 4 – DOF vehicle dynamic model on the condition of single lane change. The simulation results with the optimum parameters indicate that the precision of driver---road closed---loop system following predictive course is increased by 51.7 percent and comprehensive evaluation index is decreased by 36.6 percent or so.