{"title":"Low Electromagnetic Interference Design and Simulation of Lithium Battery Powered UAV","authors":"Jiahao Ge, Li Liu, Yuntao He, Xiao Cao","doi":"10.1109/ICUAS51884.2021.9476833","DOIUrl":null,"url":null,"abstract":"Electromagnetic Interference (EMI) is the main disturbance source of magnetic compass. On the basis of EMI analysis, a low EMI design method of lithium battery powered UAV is proposed and verified through virtual trajectories. The EMI modeling is based on the electric circuit analysis of lithium battery powered UAV and the power supply principle of lithium battery. On the one hand, the low EMI design is carried out by optimizing the inclination angle of lithium battery. On the other hand, trajectory planning using kinodynamic RRT* algorithm is chosen as the verification method to reveal the effect of reducing EMI during flight. The results show that the average EMI of lithium battery can be reduced by more than 95% through the proposed method.","PeriodicalId":423195,"journal":{"name":"2021 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Unmanned Aircraft Systems (ICUAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUAS51884.2021.9476833","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
Electromagnetic Interference (EMI) is the main disturbance source of magnetic compass. On the basis of EMI analysis, a low EMI design method of lithium battery powered UAV is proposed and verified through virtual trajectories. The EMI modeling is based on the electric circuit analysis of lithium battery powered UAV and the power supply principle of lithium battery. On the one hand, the low EMI design is carried out by optimizing the inclination angle of lithium battery. On the other hand, trajectory planning using kinodynamic RRT* algorithm is chosen as the verification method to reveal the effect of reducing EMI during flight. The results show that the average EMI of lithium battery can be reduced by more than 95% through the proposed method.
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