建立了电动助力转向(EPS)系统的动力学模型,采用模糊神经网络控制策略进行了系统的控制,在提出目标函数的基础上,用遗传算法对EPS系统机械参数和控制参数进行集成优化。仿真结果表明:采用集成优化方法能使EPS系统的机械参数和控制器参数的匹配更合理,可以提高汽车的操纵性能。
A mathematic model of the electric power steering (EPS) system was established and a fuzzy neural network controller was adopted. An integrated optimization for structure parameters and fuzzy neural network control parameters based on genetic algorithm (GA) was brought forward, after objective function was advanced. The result of simulation showed that the integrated optimization method can make it more matchable for structure parameters and control parameters, the automotive controllability and stability can be improved.