建筑结构振动分散控制系统的多目标优化研究  

Multi objective optimization of the decentralized control system of building structures

作　　者：潘兆东 谭平[2] 周福霖[2] PAN Zhaodong;TAN Ping;ZHOU Fulin(Department of Civil Engineering,Dongguan University of Technology,Dongguan 523808,China;Earthquake Engineering Research ＆ Test Center,Guangzhou University,Guangzhou 510405,China)

机构地区：[1]东莞理工学院建筑工程系,广东东莞523808 [2]广州大学工程抗震研究中心,广州510405

出　　处：《振动与冲击》2018年第22期92-97,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金(97315301-07; 51408142);国家973项目(2012BAJ07B02);教育部创新团队项目(IRT13057)

摘　　要：基于结构可控性指标、粒子群—差分进化多目标混合群(MOHO)算法及分散控制系统结构随机响应求解提出了一种分散控制系统多目标优化设计方法,对结构分散控制系统的作动器位置、数量、控制器参数和子系统划分进行优化。利用结构可控性指标对作动器最优布置楼层进行确定;利用多目标混合群优化算法对分散控制系统内各子系统作动器数量和控制器反馈增益进行优化;以随机地震激励下反映结构振动控制效果和控制策略优劣的双指标作为各子控制系统的优化目标函数。针对一12层框架结构,采用提出的分散控制系统多目标优化方法对多种分散控制方案进行有优化设计,并在实际地震动激励下,对优化结果进行时程验证分析,表明该优化方法是稳定、有效可行的,优化得到的分散控制系统较集中控制系统而言有更理想的控制效果。A new multi objective optimization design method was proposed for decentralized control systems based on the structural controllability index, the particle swarm-differential evolution multi-objective hybrid swarm optimization （MOHO） algorithm and the structure stochastic response solutions of the decentralized control system. The subsystem division, parameters of controller, number and allocation of actuators were optimized. The optimal installation floors of control devices were determined through the structural controllability index. The number of actuators and controller gain for each subsystem were optimized through the multi-objective hybrid swarm optimization algorithm. Two indexes that reflect the structural vibration control effect and control strategy performance were used as the optimization objective function for each subsystem. A 12 story frame structure was used as a numerical example to validate the effectiveness of the proposed optimization design method. Various decentralized control schemes have been optimized, using the method and have been verified through the time-history analysis. The results show that the optimization method is stable and effective, and the optimal decentralized control system is more efficient than the centralized control system.

关 键 词：主动控制 分散控制 可控性 多目标优化 混合群算法 

分 类 号：TH212[机械工程—机械制造及自动化] TH213.3