【摘要】 针对地震作用下高层建筑结构的振动控制方法进行研究,引入分散控制的策略,将线性二次型最优控制(LQR)与迭代学习控制(ILC)算法原理相结合,提出分散最优迭代学习控制(Decentralized OptimalIterative Learning Control,DOILC)算法并应用于高层结构振动控制中。对某20层钢结构Benchmark结构模型进行数值计算与分析,结果表明,采用分散控制策略的DOILC算法与传统集中控制策略一样可以有效地抑制结构地震反应,相对于集中控制的单一失效分散控制系统的可靠性更强且数据实时处理效率大为提高。更多还原

【Abstract】 Methods for vibration control of tall buildings under earthquakes were studied.By introducing the decentralized control strategy and combining the linear quadratic optimal control and iterative learning control(ILC),an algorithm of decentralized optimal iterative learning control(DOILC) was presented for the decentralized control of tall buildings vibration.A typical 20-storey seismically excited building was used for comparing the performance of the two control strategies.The results indicated that the decentralized control strategy could effectively mitigate structural seismic response as well as the traditional centralized control strategy but was superior in enhancing the reliability and more efficient in the data real-time processing of the control system.更多还原