陈怀海
    博士生导师
  • 招生学科专业:
    力学 -- 【招收博士、硕士研究生】 -- 航空学院
    机械 -- 【招收博士、硕士研究生】 -- 航空学院
  • 学位:工学博士学位
  • 职称:教授
  • 所在单位:航空学院
博士生导师
教师英文名称:CHEN Huaihai
电子邮箱:CHHNUAA@nuaa.edu.cn
所在单位:航空学院
学历:大连理工大学
办公地点:A18-613
性别:
联系方式:CHHNUAA@nuaa.edu.cn
毕业院校:西安交通大学

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标题:
Control algorithm update for multi-input multi-output random environment test
点击次数:
所属单位:
航空学院
发表刊物:
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
关键字:
Multi-input multi-output Vibration environment test Random Ill-condition Control algorithm
摘要:
When conducting multi-input multi-output (MIMO) random vibration environment test, response spectral lines of under test article may exceed their tolerances and some of them can hardly be controlled by control algorithms. The cause of this phenomenon is the high level noises in the input forces, which are induced by the inverse of the ill-conditioned frequency response function matrices. These spectral lines may even trigger the instability of control algorithms and eventually result in an accidental test shutoff. The classical control algorithm for MIMO random vibration environment test contributed by Smallwood is analyzed theoretically and experimentally in the paper to reveal its weakness on dealing with this kind of error. An updated algorithm is proposed on the basis of inverse theory to overcome the difficulty of controlling these stubborn spectral lines. The main idea of the work is to reduce the level of noise components in input forces by regularizing singular values of ill-conditioned frequency response function matrices. An adjusting rule is set up according to the auto-power spectra tolerances. A simulation and an experiment are supplied in the paper to verify the effectiveness of the updated algorithm, the results are satisfactory. (C) 2017 Elsevier Ltd. All rights reserved.
ISSN号:
0888-3270
是否译文:
发表时间:
2018-10-01
第一作者:
陈怀海
通讯作者:
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其他作者:
Cui, Song,贺旭东,郑玮
发表时间:
2018-10-01
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