Hybrid vibration isolation optimization of a flexible manipulator based on neural network agent model

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外文摘要：Segmented Active Constrained Layer Damping(SACLD)is an intelligent vibration-damping structure,which could be applied to the sectors of aviation,aerospace,and transportation engineering to reduce the vibration of flexible structures.Moreover,machine learning technology is widely used in the engineering field because of its efficient multi-objective optimization.The dynamic simulation of a rotational segmental flexible manipulator system is presented,in which enhanced active constrained layer damping is carried out,and the neural network model of Genetic Algorithm-Back Propagation(GA-BP)algorithm is investigated.Vibration suppression and struc-tural optimization of the SACLD manipulator model are studied based on vibration mode and damping prediction.The modal responses of the SACLD manipulator model at rest and rotation are obtained.In addition,the four model indices are optimized using the GA-BP neural network:axial incision size,axial incision position,circumferential incision size,and circumferential incision position.Finally,the best model for vibration suppression is obtained.

外文关键词：

Machine learningVibration suppressionFlexible manipulatorSegmented active con-strained layer dampingStructural optimization

作者：

Yongxin ZHANG、Liang LI、Dingguo ZHANG、Wei-Hsin LIAO、Xian GUO

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作者单位：

School of Science,Nanjing University of Science and Technology,Nanjing 210094,China

Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong,Hong Kong,China

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaFundamental Research Funds for the Central Universities,China

项目编号：

12072159122320121210219130922010314

出版年：

2024

DOI：

10.1016/j.cja.2024.02.001

中国航空学报(英文版)

中国航空学会

中国航空学报(英文版)

CSTPCDEI

影响因子：0.847

ISSN：1000-9361

年,卷(期)：2024.37(5)