{"title":"Low-cost energy measurement and estimation for autonomous underwater vehicles","authors":"V. De Carolis, D. Lane, K. Brown","doi":"10.1109/OCEANS-TAIPEI.2014.6964490","DOIUrl":null,"url":null,"abstract":"This work introduces a low-cost energy measurement method and proposes a simple linear model to estimate the vehicle energy consumption when navigating a given trajectory. Experimental results on Nessie VII AUV show that the developed system can be used to measure the energy used during the vehicle's operations with a good confidence level. Moreover the proposed estimation model can be trained using a simple calibration procedure each time the environmental conditions change or the vehicle's configuration is altered. The proposed solution is suited to real-time use on low-power embedded devices. The limited use of computation resources mean that this method is well suited for supporting navigation planning and motion control.","PeriodicalId":114739,"journal":{"name":"OCEANS 2014 - TAIPEI","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2014 - TAIPEI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS-TAIPEI.2014.6964490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This work introduces a low-cost energy measurement method and proposes a simple linear model to estimate the vehicle energy consumption when navigating a given trajectory. Experimental results on Nessie VII AUV show that the developed system can be used to measure the energy used during the vehicle's operations with a good confidence level. Moreover the proposed estimation model can be trained using a simple calibration procedure each time the environmental conditions change or the vehicle's configuration is altered. The proposed solution is suited to real-time use on low-power embedded devices. The limited use of computation resources mean that this method is well suited for supporting navigation planning and motion control.