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Researches on Support Vector Machine Based Semi-Active Control of Structures

机译:基于支持向量机的结构半主动控制研究

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The present paper presents the support vector machine (SVM) based semi-active control algorithm with a view to general dampers for multistory structures under earthquakes. Firstly, the LQR controller for the numerical model of a multistory structure formulated using the dynamic dense method is obtained by use of the classic LQR control theory. Then, a SVM model is designed and trained to emulate the performance of the LQR controller. Likewise this SVM model comprises the observers and controllers of the control system. Finally, in accordance with the features of general semi-active dampers, a SVM based semi-active control strategy is put forward. More specifically, an online auto-feedback semi-active control strategy is developed and then realized by resorting to SVM. In order to numerically verify the control effectiveness of the present control strategy, the time history analysis has been implemented to a structure with general dampers designed by the SVM based semi-active control algorithm. In numerical simulations, four seismic waves including El-Centro wave, Hachinohe wave, Kobe wave, and Shanghai artificial wave, whose peak ground accelerations (PGA) are all scaled to 0.1gal, are taken into consideration. Comparative results demonstrate that general semi-active dampers designed using the SVM based semi-active control algorithm is capable of providing higher level of response reduction.
机译:本文针对地震作用下多层结构的通用阻尼器,提出了一种基于支持向量机的半主动控制算法。首先,利用经典的LQR控制理论,获得了采用动态稠密法建立的多层结构数值模型的LQR控制器。然后,设计并训练了一个SVM模型来模拟LQR控制器的性能。同样,此SVM模型包括控制系统的观察者和控制器。最后,根据一般半主动阻尼器的特点,提出了一种基于支持向量机的半主动控制策略。更具体地说,开发了一种在线自动反馈半主动控制策略,然后借助SVM来实现。为了从数值上验证本控制策略的控制效果,时程分析已针对具有基于SVM的半主动控制算法设计的通用减振器的结构进行了分析。在数值模拟中,考虑了四个地震波,其中包括El-Centro波,Hachinohe波,神户波和Shanghai人造波,它们的峰值地面加速度(PGA)均缩放为0.1gal。比较结果表明,使用基于SVM的半主动控制算法设计的一般半主动阻尼器能够提供更高水平的响应降低。

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