{"title":"Structural optimization for deformable mirror hexagon support based on artificial intelligence technology","authors":"Fu Zhao, Y. Gong, Li Zhang, H. Xiang, Ping Wang","doi":"10.1109/ICNIDC.2009.5360971","DOIUrl":null,"url":null,"abstract":"Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multi variable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms(GA) is applied to optimization of the structural parameters for the DM hexagon support structure. Finally, the random vibration analysis is given for the optimized support structure and the results indicate the optimization method based on artificial intelligent technology is effective.","PeriodicalId":127306,"journal":{"name":"2009 IEEE International Conference on Network Infrastructure and Digital Content","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Network Infrastructure and Digital Content","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2009.5360971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multi variable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms(GA) is applied to optimization of the structural parameters for the DM hexagon support structure. Finally, the random vibration analysis is given for the optimized support structure and the results indicate the optimization method based on artificial intelligent technology is effective.