@inproceedings{26e7318bdd56416b9af749f1e94b5a8b,
title = "Parameter estimation and its application in tuning PI control scheme",
abstract = "In this paper, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) based robust adaptive PI Control Scheme have been proposed and implemented on the simulated model of the non-linear benchmark processes. The servo and regulatory performance using proposed tuning methodologies were found satisfactory. The performances of the proposed control schemes have been compared with conventional adaptive PI (CA-PI) control scheme. From the extensive simulation studies, it was found that the proposed schemes implemented on non-linear processes are having better performance over CA-PI control scheme. It was also found that proposed control schemes are able to eliminate measurement noise and having good robustness features.",
keywords = "EKF, Model-based control, Parameter estimation, Spherical tank process, Tracking, UKF",
author = "Sanjay Bhadra and Atanu Panda and Sawan Sen and Parijat Bhowmick",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020 ; Conference date: 09-09-2020 Through 12-09-2020",
year = "2020",
month = sep,
doi = "10.1109/IEMTRONICS51293.2020.9216419",
language = "English",
series = "IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings",
publisher = "IEEE",
editor = "Satyajit Chakrabarti and Rajashree Paul and Bob Gill and Malay Gangopadhyay and Sanghamitra Poddar",
booktitle = "IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings",
address = "United States",
}