【作者】 姜武华；

【导师】 王其东；

【作者基本信息】 合肥工业大学 ， 车辆工程， 2004， 硕士

【摘要】 电动助力转向是汽车动力转向的新技术和新结构，有着广阔的应用前景。相对传统的液压助力转向系统而言，电动助力转向系统由电动机提供辅助转向动力，并由电子控制单元根据车速信号和扭矩信号来决定其大小。本文在电动助力转向系统的研究过程中，首先，通过对EPS系统的动力学分析，建立了EPS系统的数学模型：然后，对EPS系统实施PD和模糊神经网络的控制，进行仿真研究，提出对电动助力转向系统机械结构参数和控制结构参数进行集成优化的思想，分别采用遗传算法对EPS系统结构和PD控制参数进行集成优化和遗传方法对EPS系统结构和模糊神经网络控制参数进行集成优化：最后，根据优化得到的机械参数，设计了一套EPS系统的减速机构。通过对电动助力转向系统的仿真和试验研究，结果表明集成优化后，电动助力转向系统的轻便性和灵敏性均得到改善，提高了汽车的操纵稳定性。更多还原

【Abstract】 Electric power steering (EPS) is a new automotive power steering technology and configuration, which will be used in many fields. Different from conventional hydraulic power steering, The EPS system provides the correct steering assistance by the electric motor. The amount of power to assist is decided according to the speed of vehicle and input steering torque by the electronic control unit. In the process of researching on the EPS system. Firstly, A math model of EPS system is set up after analyzing; Secondly, PD Controller and Fuzzy Neural Net controller are used, a new integrated optimization method to optimize the structure parameters and the control parameters of the EPS system was present. We bring forward two methods during simulation and test. One is the integrated optimization based on Genetic Algorithm for the EPS system structure parameters and PD Control parameters; the other is the integrated optimization based on Genetic Algorithm for the EPS system structure parameters and Fuzzy Neural Net control parameters; Finally, The reduction gear of the EPS system is designed. The result of simulation and test proves that integrated optimization method can improve the portability and sensitiveness of the electric power steering, enhance the automotive controllability and stability.更多还原