|本期目录/Table of Contents|

[1]谭平,周福霖.结构主动变刚度·阻尼控制系统及其优化设计[J].建筑科学与工程学报,2007,24(02):6-12.
　TAN Ping,ZHOU Fu-lin.Structural Active Variable Stiffness·Damping Control System and Its Optimal Design[J].Journal of Architecture and Civil Engineering,2007,24(02):6-12.
点击复制

结构主动变刚度·阻尼控制系统及其优化设计(PDF)
分享到：

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
24卷
期数:
2007年02期
页码:
6-12
栏目:
出版日期:
2007-06-20

文章信息/Info

Title:
Structural Active Variable Stiffness·Damping Control System and Its Optimal Design
作者:
谭平，周福霖
广东省地震工程与应用技术重点实验室,广东 广州 510405
Author(s):
TAN Ping, ZHOU Fu-lin
Key Laboratory of Earthquake Engineering and Applied Technique of Guangdong Province, Guangzhou 510405, Guangdong, China
关键词:
半主动控制;  主动变刚度·阻尼控制;  优化设计;  控制算法;  遗传算法
Keywords:
semiactive control;  active variable stiffness·damping control;  optimal design;  control algorithm;  genetic algorithm
分类号:
TU318
DOI:
-
文献标志码:
A
摘要:
介绍了一种新型开关控制型的半主动控制系统——主动变刚度·阻尼(AVS·D)系统的装置组成及其减振控制机理,阐述了该系统所特有的反应放大原理,建立了该控制系统的运动方程。基于瞬时最优控制的思想推导了该控制系统的开关控制律。为了充分发挥该控制装置的作用,优化了主动变刚度·阻尼装置的参数设计,并基于遗传算法研究了主动变刚度·阻尼装置在结构中的空间位置优化方法。计算机仿真分析结果显示,主动变刚度·阻尼系统是一种性能非常优越的半主动控制系统,所推导的瞬时最优半主动开关控制律是很有效的。对不同数目的主动变刚度·阻尼装置进行位置优化,结果表明,所提出的位置优化方法对于优化多个主动变刚度·阻尼装置的位置是相当高效的,可以最大限度地发挥该控制系统的性能。
Abstract:
Authors introduced a new semiactive control system, active variable stiffness·damping(AVS·D)system, whose composition and work principle were described. The AVS·D system was capable of amplifying the interstory drift and velocity and made dampers dissipate more energy. In this study, the control law of the AVS·D system was derived based on an instantaneous performing index. To optimally utilize the AVS·D control devices and economically improve the control performance, genetic algorithm(GA)was used to design the multiple device location. Numerical simulation indicates that the AVS·D system is a new semiactive control system with high performance and the proposed instantaneous control law of the AVS·D system is quite effective. The proposed procedure of optimizing the placement of AVS·D devices is high efficient, which can make the most advantage of AVS·D system.

参考文献/References:

[1] 周福霖.工程结构减振控制[M].北京:地震出版社,1997. ZHOU Fu-lin.Seismic Reduction Control of Engineering Structures[M].Beijing:Seismological Press,1997.
[2]SPENCER B F J,NAGARAJAIAH S.State of the Art of Structural Control[J].J of Struc Engn,2003,129(7):845-856.
[3]谭 平.结构主动变刚度阻尼控制的理论与试验研究[D].长沙:湖南大学,2000. TAN Ping.Experimental and Theoretical Study on Structural Active Variable Stiffness and Damping Control System[D].Changsha:Hunan University,2000.
[4]NASU T,KOBORI T,TAKAHASHI M,et al.Active Variable Stiffness System with Non-resonant Control[J].Earthquake Engineering and Structural Dynamic,2001,30(11):1 597-1 614.
[5]GOLDBERG D E.Genetic Algorithm in Search,Optimization and Machine Learning[M].Reading:Addison Wesley,1999.
[6]SOONG T T,GRIGORIU M.Random Vibration of Mechanical and Structural Systems[M].New Jersey:Prentice Hall,1993.
[7]POHLHEIM H.Evolutionary Algorithms:Overview,Methods and Operators[M].Berlin:Springer,1999.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2007-04-21
基金项目:国家科技部重大基础研究前期研究专项项目(2004CCA03300); 广州市科技攻关计划项目(2004Z1-E0051)
作者简介:谭 平(1973-),男,湖南常德人,研究员,工学博士,博士后,E-mail:ptan@gzhu.edu.cn。
更新日期/Last Update: 2007-06-20