基于量子微粒群算法的磁流变阻尼器滞回模型研究  

RESEARCH ON HYSTERETIC MODEL FOR MAGNETO-RHEOLOGICAL DAMPER BASED ON QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION ALGORITHM

作　　者：宋璨[1] 王修勇[1] 陈政清[1] 孙洪鑫[1] 陈丕华[1] 

机构地区：[1]湖南大学风工程试验研究中心,长沙410082

出　　处：《机械强度》2010年第3期476-480,共5页Journal of Mechanical Strength

基　　金：国家自然科学基金(50578063);国家自然科学重点项目(50738002)资助~~

摘　　要：磁流变阻尼器是一种智能减振装置,建立一个有效的模型是使其走向工程应用的关键。文中提出一种改进的滞回模型来描述磁流变阻尼器的动态特性,开展阻尼器的性能试验,并利用实测数据,在量子微粒群算法的基础上进行模型参数识别。识别过程证明,量子微粒群算法计算简便、精度高、收敛速度快。仿真结果表明,磁流变阻尼器改进的滞回模型效果较好,而且物理概念清晰,便于控制应用。Magneto-rheological damper(MRD) is a kind of smart device for vibration control.Building an effective model is a key to make MRD using in practical engineering.The improved hysteretic model for MRD was proposed to describe its dynamic characteristic.The performance test of damper was carried out.By making use of the experiment data,the model parameters were identified on the basis of quantum-behaved particle swarm optimization algorithm.Identification process demonstrates that quantum-behaved particle swarm...

关 键 词：磁流变阻尼器 改进的滞回模型 量子微粒群优化算法 参数识别 

分 类 号：TB535[理学—物理]