【作者】 胡芳；

【导师】 陈无畏；

【作者基本信息】 合肥工业大学 ， 车辆工程， 2005， 硕士

【摘要】 本文通过对空气悬架理论的分析和研究,在建立悬架系统振动模型时,不是将空气弹簧的弹力线性化后代入模型计算,而是采用直接将弹簧非线性力代入模型进行计算和仿真分析,通过仿真证实后者更能真实反映车辆在实际行驶中的振动响应情况。并且通过车辆行驶平顺性道路试验证实了理论分析的正确性和计算机仿真的科学性和可信性。 在对非线性空气悬架系统建模的基础上,本文分别采用常规模糊控制、参数自调整模糊控制和直接自适应模糊控制对被动悬架进行主动控制,通过对三种控制方法的理论研究和仿真分析,证明了常规模糊控制器对非线性空气悬架平顺性有一定改善,但因其模糊规则有一定主观性以及具有固定量化因子和比例因子的特性,故有其局限性。参数自调整控制器实时调整量化因子和比例因子,能改善控制性能,但由于有限的误差划分区域,且加权系数依经验所定,仍有其局限性。自适应模糊控制根据系统输入实时调整模糊控制规则,有效地抑制车身振动,提高车辆的行驶平顺性,是一种较为理想的控制方法。更多还原

【Abstract】 Analyzing and researching on air suspension theory, this paper doesn’t linearized the air spring, but put the non-linear air spring into model to calculate and simulate directly. Simulation result shows the later can represent real performance of vibration response. The vehicle riding test shows that correctness of theory analysis and the characteristic of science and creditability of computer simulation.Based on building the non-linear air suspension model, this paper use the General Fuzzy Control, the Self-adjusting Parameter Fuzzy Control and the Direct Self-adaptive Fuzzy Contrl on the air suspension system. The theory research and simulation analysis result shows that the General Fuzzy Controller can improve the riding of the non-linear air suspension ,but it has the localization characteristic for its subjectivity on fuzzy rules and fix quantity genes and the scale gene. The Self-adjusting Parameter Fuzzy Controller adjust the fix quantity genes and the scale gene at real time, so it can improve control ability. Because of the limited error area and the adding power modulus according to the experience ,it also has the localization characteristic. The Direct Self-adaptive Fuzzy Controller adjust the rule of fuzzy control according to the system import at real time, so it can restrict vehicle vibration efficiently and improve the riding. It is anideal control method.更多还原