Hybrid optimization procedure and active vibration control of beams with piezoelectric patches

Yassin Belkourchia, L. Azrar, Es-Sadek Mohamed Zeriab
{"title":"Hybrid optimization procedure and active vibration control of beams with piezoelectric patches","authors":"Yassin Belkourchia, L. Azrar, Es-Sadek Mohamed Zeriab","doi":"10.1109/ICOA.2018.8370576","DOIUrl":null,"url":null,"abstract":"The aim of this paper is the elaboration of a new hybrid optimization procedure based on a coupling methodological approach for solving global optimization problem and active vibration control. This coupling is based on the genetic algorithm, the sequential quadratic programming and on the particle swarm optimization combined with a projected gradient algorithm. The proposed methodological approach and its convergence to the global solution are proved through the tested solutions. The proposed methodological approach is applied to constrained optimal piezoelectric actuators location. The test results indicate that the proposed algorithm is extremely robust and can be successfully used to solve global optimization problems. Based on the obtained optimal location, active vibration control of beams with multi-piezoelectric patches is elaborated.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The aim of this paper is the elaboration of a new hybrid optimization procedure based on a coupling methodological approach for solving global optimization problem and active vibration control. This coupling is based on the genetic algorithm, the sequential quadratic programming and on the particle swarm optimization combined with a projected gradient algorithm. The proposed methodological approach and its convergence to the global solution are proved through the tested solutions. The proposed methodological approach is applied to constrained optimal piezoelectric actuators location. The test results indicate that the proposed algorithm is extremely robust and can be successfully used to solve global optimization problems. Based on the obtained optimal location, active vibration control of beams with multi-piezoelectric patches is elaborated.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
压电贴片梁的混合优化算法及振动主动控制
本文的目的是阐述一种新的基于耦合方法的混合优化过程,以解决全局优化问题和主动振动控制。这种耦合是基于遗传算法、顺序二次规划和粒子群优化结合投影梯度算法。通过测试的解,证明了所提出的方法及其收敛性。将所提出的方法应用于有约束的压电致动器最优定位。测试结果表明,该算法具有很强的鲁棒性,可以成功地用于解决全局优化问题。基于得到的最优位置,阐述了多压电片梁的振动主动控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The integrated production-inventory-routing problem in the context of reverse logistics: The case of collecting and remanufacturing of EOL products Parametric uncertainties effect on the performance of HAWT's induction machine: Bond graph approach Towards implementing lean construction in the Moroccan construction industry: Survey study A new multilevel inverter with genetic algorithm optimization for hybrid power station application Power-aware clock routing in 7nm designs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1