利用遗传算法优化线控转向系统模型参数的研究

ifficulty in modeling vehicle steering dynamics is hard to attain parameters. Genetic algorithm needn’t accurate original guess values ,converge fast and is an effective and robust optimization technology .Full vehicle model of Steer-by-Wire system adopts bicycle model and tire model adopts the first step lag dynamics model. Genetic algorithm toolbox is called based on Matlab platform and three model parameters are optimized by genetic algorithm to make model outputs coincide with experimental results. Experimental results show that model optimized by genetic algorithm is valid and can be used for simulation of vehicle handling and stability.