基于蚁群算法的结构半主动控制分析

发布时间：2018-01-04 08:25

本文关键词：基于蚁群算法的结构半主动控制分析　出处：《华中科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：运用结构振动控制的方法可有效减小结构地震荷载下动力响应，减轻或避免结构因地震荷载引起的破坏。与主动控制相比，半主动控制方法不需大量外部功能就可达到与之相仿的控制效果，是当前最具前景的控制方法。由于土木工程结构的复杂性及不确定性，现行经典的半主动控制算法难以达到很好的控制效果。因此，研究开发新型的结构半主动智能控制算法具有重大的理论和实践意义。蚁群算法是一种仿生优化算法，鲁棒性强、分布式计算机制优良，在解决复杂优化问题方面性能优异。结构半主动控制问题可认为是一个条件优化问题，蚁群算法在结构半主动控制中的应用前景广阔。本文针对结构半主动振动控制的特点，参考蚁群算法在TSP问题上的应用方法对蚁群算法加以改进。基于蚁群算法来实现结构的MR半主动控制，提出了蚁群算法在MR半主动控制中实现的具体方法和步骤。在Matlab/simulink仿真平台上建立不同算法下结构振动的仿真模型，以验证基于蚁群算法的结构半主动控制的有效性。仿真结果表明：基于蚁群算法的结构半主动控制，不依赖于精确模型，在结构MR半主动控制中，，能达到较好的控制效果，证实了基于蚁群算法的结构半主动控制的有效性。
[Abstract]:The method of structural vibration control can effectively reduce the dynamic response of structure under earthquake load, and reduce or avoid the damage caused by seismic load. Compared with active control, the method of structural vibration control can effectively reduce the dynamic response of structure under earthquake load. Semi-active control method can achieve similar control effect without a large number of external functions. It is the most promising control method at present because of the complexity and uncertainty of civil engineering structure. The classical semi-active control algorithm is difficult to achieve good control effect. It is of great theoretical and practical significance to develop a new structure semi-active intelligent control algorithm. Ant colony algorithm is a bionic optimization algorithm with strong robustness and good distributed computing mechanism. The structural semi-active control problem can be regarded as a conditional optimization problem, and the application prospect of ant colony algorithm in structural semi-active control is broad. According to the characteristics of structural semi-active vibration control, this paper improves the ant colony algorithm by referring to the application method of ant colony algorithm in TSP problem, and realizes the structural semi-active control of Mr based on ant colony algorithm. The specific methods and steps of ant colony algorithm in Mr semi-active control are presented. The simulation models of structural vibration under different algorithms are established on Matlab/simulink simulation platform. In order to verify the effectiveness of structural semi-active control based on ant colony algorithm. The simulation results show that the structural semi-active control based on ant colony algorithm does not depend on the exact model and can achieve better control effect in structural Mr semi-active control. The validity of structural semi-active control based on ant colony algorithm is verified.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU352.1

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