东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (5): 743-747.DOI: 10.12068/j.issn.1005-3026.2015.05.029

• 资源与土木工程 • 上一篇    下一篇

一种对多层建筑振动半主动控制的新算法

马涌泉， 邱洪兴， 祁永成   

  1. (东南大学 土木工程学院， 江苏 南京210096)
  • 收稿日期:2013-11-16 修回日期:2013-11-16 出版日期:2015-05-15 发布日期:2014-11-07
  • 通讯作者: 马涌泉
  • 作者简介:马涌泉(1984-)，男，山东安丘人，东南大学博士研究生; 邱洪兴(1962-)，男，江苏无锡人，东南大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51078077)； “十二五”国家科技支撑计划项目(2012BAJ14B00).

A New Semi-active Control Algorithm for Suppressing the Vibration of Multi-storey Buildings

MA Yong-quan， QIU Hong-xing， QI Yong-cheng   

  1. College of Civil Engineering， Southeast University， Nanjing 210096， China.
  • Received:2013-11-16 Revised:2013-11-16 Online:2015-05-15 Published:2014-11-07
  • Contact: MA Yong-quan
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摘要： 为了有效抑制多层建筑的地震响应，提出了自适应神经网络控制(MGA_ANNC)策略.首先对非确定性和非线性结构的参考轨迹进行了追踪，并采用径向基函数网络来保证追踪的精度.然后利用改进的遗传算法(MGA)对结果参数向量的初始值进行了选定.最后结合改进的剪切最优(MCO)控制算法提出了适合调谐质量-磁流变阻尼器(TM-MRD)的MGA_ANNC/MCO半主动控制算法.分别对一座9层框架结构在无控制、MGA_ANNC/MCO半主动控制、MGA_ANNC主动控制和LQG主动控制下的各项评价指标值进行了计算.结果表明:MGA_ANNC/MCO和MGA_ANNC的减震效果均比LQG的要显著.

关键词: 建筑, 神经网络, 振动控制, 改进的遗传算法, Lyapunov稳定理论

Abstract: To effectively suppress the seismic responses of multi-storey buildings， a new adaptive neural network control strategy based on the modified genetic algorithm (MGA_ANNC) was proposed. First， the reference trajectory of uncertain and nonlinear structures was tracked， and the tracking accuracy was ensured by using the radial basis function network. Next， the initial values of consequent parameter vectors were selected by using the modified genetic algorithm. Finally， the semi-active control strategy MGA_ANNC/MCO used for TM-MRD was proposed by using the modified clipped optimal (MCO) control algorithm. The various evaluation criteria of a 9-storey frame structure under the non-control， MGA_ANNC/MCO semi-active control， MGA_ANNC active control and linear quadratic gaussian (LQG) active control were calcalated， respectively. The results indicated that the seismic reduction effects of both MGA_ANNC/MCO and MGA_ANNC are obviously superior to those of LQG.

Key words: building, neural network, vibration control, modified genetic algorithm(MGA), Lyapunov stability theory

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