[1]LI Xin,ZHANG Lijian,HE Yintong.Simulation analysis and parameter optimization of vibration isolation of metal rubber clamps based on the modified PSO[J].CAAI Transactions on Intelligent Systems,2015,10(4):599-606.[doi:10.3969/j.issn.1673-4785.201504003]
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Simulation analysis and parameter optimization of vibration isolation of metal rubber clamps based on the modified PSO

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 4 Page number: 599-606 Column: 学术论文—智能系统 Public date: 2015-08-25
Title:
Simulation analysis and parameter optimization of vibration isolation of metal rubber clamps based on the modified PSO
Author(s):
LI Xin;  ZHANG Lijian;  HE Yintong
1. Department of hydraulic and servo technology, Beijing Mechanical Equipment Institute, Beijing 100854, China
Keywords:
metal rubber; clamp; vibration isolation; isolation rate; memory restoring force; nonlinear stiffness; flight profile; modified particle swarm optimization
CLC:
V252
DOI:
10.3969/j.issn.1673-4785.201504003
Abstract:
Metal rubber has a significant energy dissipation property due to its dry friction characteristic. In this paper, the test system and the metal rubber was placed in the clamp of hydraulic pipe as the vibration isolation material. The vibration equations of pipe and clamp considering the cubic nonlinear rigidity and memory restoring force of dry friction were established. The model of vibration isolation ratio of the metal rubber clamp was also obtained. The influence of cubic nonlinear stiffness and memory restoring force on the ratio was analyzed and then compared with the experiment. The results were consistent. The speed ratio under different working conditions and the weighted sum of vibration isolation with different characteristic frequencies were obtained based on the flight profile of a certain type of large aircraft and the weighted sum was set as the objective function. Considering the disadvantages of the traditional particle swarm optimization (PSO), the change rule of learning factor was changed and the simulated annealing algorithm was introduced to judge the updating of optimal point. The simulation validated that the improved algorithm has faster convergence rate and avoids trapping into local optimum. However,the minimum vibration isolation transferring rate and the optimal parameters of the metal rubber clamp were received.
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