摘要
磁流变阻尼器控制系统的性能很大程度取决于阻尼器的数学模型,由于磁流变液在高速剪切速率下容易发生剪切稀化,因此,本文在原有S型滞环模型的基础上,引入了行为指数从而改进了S型滞环模型。根据试验数据,并运用遗传算法和传统优化算法相结合求取全局最优解的方法,求解出了模型中的参数值。结果表明:改进后的S型滞环模型能够很好拟合高速区的速度-阻尼力试验特性曲线。
The performance ofthe magneto-rheological damper depends on its mathematical model. Thesigmoidhystereticmodel is improved by considering MR fluid with shear-thinning property. Behavior index is introduced in this improved model. According to the experimental data, the improved model is recognized by the method of genetic algorithms with traditional optimization. The results show that the improved model can be well fitted the experimental curves.
出处
《燕山大学学报》
CAS
2010年第5期401-404,共4页
Journal of Yanshan University
关键词
磁流变阻尼器
遗传算法
参数辨识
滞环特性
MR damper
genetic algorithm
parameter identification
hysteretic behavior