摘要
研究了高耸结构AMD控制系统在线计算的关键技术。为实施在线实时控制,本文采用集中质量法将原结构简化为二维串联多自由度模型,且所建模型能较好反应原结构动力特性,为结构主动控制在线计算提供了兼顾计算精度和效率的数值模型;分别设计了H2/LQR控制算法、极点配置算法、模糊神经网络控制算法等三种主动控制算法,并作对比分析以选择最合适的算法及相关参数;本文设计了基于加速度的状态观测器,基于此观测器确定了加速度传感器的安装位置。
Abstract
This paper studies the key technology for implement of AMD control system used in high-rising building. For the feasibility to execute real-time control, the structure is reduced to a reduced order model, which almost has the same dynamic performances as the original structure. And the reduced order model can meet the precision and efficiency requirements. Then based on the reduced order model, three active control algorithms including H2/LQR, pole assignment, and fuzzy control algorithm are designed and analyzed for the optimal one with its parameters. At the same time, a acceleration-based state obsever is designed, by which the locations of accelerometers are determined.
关键词
AMD控制 /
降阶模型 /
在线计算 /
观测器设计
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Key words
AMD control /
reduced-order model /
computing on-line /
acceleration-based state obsever
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滕 军;幸厚冰.
京基100大厦AMD控制系统在线计算关键技术研究[J]. 振动与冲击, 2011, 30(11): 230-235
Teng Jun;Xing Hou-bing.
Study of key technology of AMD control system used in high-rising buildings [J]. Journal of Vibration and Shock, 2011, 30(11): 230-235
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