摘要
在对汽车电动助力转向系统(EPS)的结构及其动力学特性分析的基础上,建立了线性三自由度汽车模型与EPS系统的集成数学模型。采用单参数自适应模糊PD控制策略,通过时域和频域的仿真计算,研究了EPS与整车动态性能的匹配关系及EPS主要参数的设计原则,并给出了EPS系统主要参数所必须满足的稳定性准则。在此基础上,建立了汽车系统和电动助力转向系统的综合系统多目标优化设计模型,并采用遗传算法对EPS主要参数进行优化设计。最后,通过试验验证了所设计的硬件参数和控制算法的有效性。
The structure and dynamic characteristics of an electric power steering system （EPS） was analyzed, and a 3-DOF linear mathematical model of a vehicle with an EPS was set up. Based on the self-adjusted fuzzy PD with a single parameter auto-tuning control strategy, the matching relationship between EPS and the whole vehicle was studied by simulation in the frequency domain and the time domain, respectively, and the design rules of EPS key parameters were investigated. The stability conditions of EPS was deduced, then the optimization model with inte- grated the EPS and the vehicle system was put forward. Based on the model, the EPS key parameters were opti- mized by applying genetic algorithm. The designed parameters and control strategy, v were validated on the test bed.
出处
《机械科学与技术》
CSCD
北大核心
2010年第1期1-6,共6页
Mechanical Science and Technology for Aerospace Engineering
基金
湖南省自然科学基金项目(09JJ3112)资助
作者简介
崔晓利（1962-），教授，博士研究生，研究方向为载运工具数字化设计、性能模拟与控制，L618C@163．com
