摘要
根据磁流变减振器阻尼特性的试验结果,建立了一种将参数化与非参数化建模方法相结合的阻尼力模型。该模型用自适应神经模糊推理系统模拟阻尼力的滞回特性,数值拟合阻尼力随电压和速度而变化的关系。验证结果表明,该模型能很好地逼近试验结果并反映其滞回特性。在此基础上,推导了在理想控制力下所建阻尼力模型的控制电压计算方法,并将该方法应用于汽车的磁流变半主动悬架控制的仿真。结果显示磁流变半主动悬架能较好地提高车辆的平顺性,提出的控制电压计算方法可行有效。
A novel damping force model combining parametric model and non-parametric model is proposed based on the test results of magneto-rheological（ MR） damping characteristics. The model uses an adaptive neuralfuzzy inference system to simulate the hysteresis characteristics of damping and conducts the numerical fitting on the relationships between damping versus voltage and speed. The results of verification show that the model can well approximate test results and reflect its hysteresis characteristics. On this basis,the calculation method of control voltage in damping model is derived and applied to the simulation on the MR semi-active suspension control of vehicle.The results demonstrate that MR semi-active suspension can better enhance the ride comfort of vehicle and the calculation method proposed of control voltage is feasible and effective.
出处
《汽车工程》
EI
CSCD
北大核心
2016年第6期725-730,共6页
Automotive Engineering
基金
国家自然科学基金(51375212)
江苏省汽车工程重点实验室开放基金(QC201304)
江苏省动力机械清洁能源与应用重点实验室开放基金(QK13003)资助
关键词
磁流变减振器
建模
半主动悬架
振动控制
magneto-rheological damper
modeling
semi-active suspension
vibration control
