Dynamic parameter identification of rolling mill vertical system
LING Qihui1,ZHANG Wei1,ZHAO Qiancheng1,#br#
YAN Xiaoqiang2,ZHANG Qingdong2
Author information+
(1. College of Mechanical and Electric Engineering, Hunan University of Science and Technology,
Xiangtan 411201, Hunan, China;2. College of Mechanical and Engineering, University of
Science and Technology Beijing, Beijing 100083, China)
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History+
Received
Revised
Published
2019-04-08
2019-05-22
2019-11-15
Issue Date
2019-11-15
Abstract
An improved particle swarm optimization (IPSO) algorithm was proposed to identify the dynamic parameters of the vertical mill system. Firstly,the stiffness and damping of the vertical system were considered as the Duffing oscillators and Vanderpol oscillators,and the nonlinear dynamic model of the vertical system was constructed. Then the PSO algorithm was improved,and the dynamic parameters of the system were identified by numerical simulation examples with noise or not,which verified the effectiveness of the algorithm. Finally,the vertical system was taken as the research object,and the algorithm was used to identify the vertical mill system dynamics parameter based on the measured data. Comparing the measured displacement,velocity and acceleration signal respectively with the identified displacement,velocity and acceleration signal,reliability of the method to identify vertical system dynamics parameters has proved. Additionally, the method has certain value in the field of engineering applications.
LING Qihui1,ZHANG Wei1,ZHAO Qiancheng1,.
Dynamic parameter identification of rolling mill vertical system[J]. Iron and Steel, 2019, 54(11): 123-129 https://doi.org/10.13228/j.boyuan.issn0449749x.20190130
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