Xinyi Zheng, B. Tang, Gang Liu, Huanghai Xie, Chaoyang Dai
{"title":"Scattering Electric Field Solution of Wind Turbine Blade Based on Scattering Center","authors":"Xinyi Zheng, B. Tang, Gang Liu, Huanghai Xie, Chaoyang Dai","doi":"10.1109/ICHVE49031.2020.9279800","DOIUrl":null,"url":null,"abstract":"In order to reduce the data processing of radar system and realize the real-time target recognition of wind turbines, it is necessary to find a fast solution to the scattering electric field of wind turbine blades. Aiming at the problem that the traditional electromagnetic solution algorithm needs to deal with a large amount of scattering electric field data of wind turbine blades, this paper breaks through the traditional idea of calculating electromagnetic scattering integrals in a wide area with a super-large-sized target entity as the basic unit, a method for solving the scattering electric field of a wind turbine is proposed. Based on the Undamped Exponentials (UDE) scattering center model, the Inverse Synthetic Aperture Radar (ISAR) image of wind turbine blade is constructed by Range-Doppler (R-D) algorithm. Then, using CLEAN algorithm and correlation coefficient to extract scattering center parameter set of wind turbine blade. Finally, the scattering electric field data of the scattering center is used to replace all the scattering data of the blade, and the fast solution of the scattering electric field is realized. Taking Vestas V82-1.65MW wind turbine as an example, based on the results of the moment method, the accuracy of the proposed method is 93.20%, the compression ratio of data is 76.81, and the calculation amount is 106 lower than that of the moment method.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"36 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHVE49031.2020.9279800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to reduce the data processing of radar system and realize the real-time target recognition of wind turbines, it is necessary to find a fast solution to the scattering electric field of wind turbine blades. Aiming at the problem that the traditional electromagnetic solution algorithm needs to deal with a large amount of scattering electric field data of wind turbine blades, this paper breaks through the traditional idea of calculating electromagnetic scattering integrals in a wide area with a super-large-sized target entity as the basic unit, a method for solving the scattering electric field of a wind turbine is proposed. Based on the Undamped Exponentials (UDE) scattering center model, the Inverse Synthetic Aperture Radar (ISAR) image of wind turbine blade is constructed by Range-Doppler (R-D) algorithm. Then, using CLEAN algorithm and correlation coefficient to extract scattering center parameter set of wind turbine blade. Finally, the scattering electric field data of the scattering center is used to replace all the scattering data of the blade, and the fast solution of the scattering electric field is realized. Taking Vestas V82-1.65MW wind turbine as an example, based on the results of the moment method, the accuracy of the proposed method is 93.20%, the compression ratio of data is 76.81, and the calculation amount is 106 lower than that of the moment method.