摘要
磁流变阻尼器具有很强的非线性特性,准确描述磁流变阻尼器输入、输出之间的非线性关系,对提高磁流变减振系统的控制精度,保持控制系统稳定性,具有重要意义。针对经典参数化建模存在的大量参数辨识和计算复杂问题,采用自适应神经模糊系统理论,根据磁流变阻尼器实验模型,建立了磁流变阻尼器非参数化模型。包括两个自适应神经模糊子系统,分别对特定电压下,磁流变阻尼器输入、输出关系及电压变化导致的阻尼力输出等级进行描述。研究表明:基于自适应神经模糊理论的磁流变阻尼器非参数化模型,能以很高的精度逼近磁流变阻尼器实验模型,真实反映磁流变阻尼器的非线性特性。由于非参数化模型的计算工作量大大减少,有利于实现磁流变减振系统的精确与快速控制。
The property of a magneto-rheological（MR） damper is nonlinear typically.The nonlinear relationship between its input and output should be described accurately in order to improve the accuracy of a vibration control system with MR dampers and maintain its control stability.The problems existing in a conventional parametric modeling are computational complexity and identification of a large number of parameters.A non-parametric modeling of a MR damper based on adaptive neuro-fuzzy system theory was presented to overcome drawbacks of a conventional parametric modeling here.The experimental model for a MR damper（RD-1005,Lord Company） was used as a reference.It contained two adaptive neural fuzzy subsystems describing relations between input and output of the MR damper for a specific voltage and voltage varying,respectively.The results showed that the non-parametric MR damper model based on adaptive neuro-fuzzy system theory is accurately close to the MR damper experimental one and it can describe the nonlinear characteristics of the MR damper.This method provided a key technical support for precise control and goal realization of vibration control system with MR dampers due to shorter calculation process.
出处
《振动与冲击》
EI
CSCD
北大核心
2011年第10期25-29,共5页
Journal of Vibration and Shock
基金
重庆市科技计划攻关项目
关键词
磁流变阻尼器
参数化模型
非参数化模型
自适应神经模糊
magneto-rheological（MR） damper
parametric model
non-parametric model
adaptive neuro-fuzzy inference system（ANFIS）
