摘要
超磁致伸缩材料（GMM）是一种新型的智能材料,GMM制作的超磁致伸缩执行器（GMA）在航空、微定位等领域得到广泛应用。本文对GMA设计中的Terfenol-D特性进行优化,基于蚁群遗传算法对超磁致伸缩材料迟滞模型进行优化,建立了基于Terfenol-D棒上超磁致伸缩执行器磁回路。通过优化,磁通分布及线圈功率转化系数呈现明显的提高。
Giant magnetostrictive material（GMM） is a new kind of intelligent material, GMM made of giant magnetostrictive actuator（GMA） is widely applied in aviation, micro positioning, and other fields.In this paper, the design of GMA Terfenol- D feature optimization, genetic algorithm based on ant colony hysteresis model of giant magnetostrictive material is optimized, based on Terfenol- D stick on giant magnetostrictive actuator magnetic circuit.Through optimization, the magnetic flux distribution and coil power conversion coefficient is obviously improved.
出处
《世界有色金属》
2016年第10期75-78,共4页
World Nonferrous Metals
基金
国家自然科学基金资助项目（51075001）
关键词
超磁致伸缩材料迟滞模型
Terfenol-D棒
蚁群遗传算法
多目标优化
giant magnetostrictive material field model
Terfenol-D rod
ant colony algorithm with genetic algorithm
multiobjective optimization
