Yutaka Onozuka, Keisuke Tajima, S. Tamaki, Ryota Shiina, T. Taniguchi, R. Kubo
{"title":"Metadata-Based Sensor-Displacement Compensation for Networked Water-Temperature Control Systems","authors":"Yutaka Onozuka, Keisuke Tajima, S. Tamaki, Ryota Shiina, T. Taniguchi, R. Kubo","doi":"10.1109/ICCE-Taiwan55306.2022.9869161","DOIUrl":null,"url":null,"abstract":"Networked water-temperature feedback control sys-tems require the remote temperature measurement at the target position to be controlled. However, a temperature sensor could be displaced during its installation or under operation, which could, in turn, affect the system stability and performance. This study proposes a sensor-displacement compensation method based on an adaptive disturbance observer and adaptive spatiotempo-ral Smith predictor using sensor metadata for a networked water-temperature control system. Simulations confirm that the proposed method outperforms the baseline method, based on the disturbance observer and Smith predictor, in terms of the tracking performance.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"76 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869161","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
Networked water-temperature feedback control sys-tems require the remote temperature measurement at the target position to be controlled. However, a temperature sensor could be displaced during its installation or under operation, which could, in turn, affect the system stability and performance. This study proposes a sensor-displacement compensation method based on an adaptive disturbance observer and adaptive spatiotempo-ral Smith predictor using sensor metadata for a networked water-temperature control system. Simulations confirm that the proposed method outperforms the baseline method, based on the disturbance observer and Smith predictor, in terms of the tracking performance.