@inproceedings{8443ecb3b5bd4fccbb949a1d16ce894a,
title = "Derivative based kalman filter and its implementation on tuning PI controller for the van de vusse reactor",
abstract = "This work focusses on predictive PI (PPI) control law employing on a class of stable, nonlinear benchmark process. To facilitate controller parameter(s) updation, two different types of derivative based Kalman filter (KF) strategies like Extended Kalman filter (EKF) and Ensemble Kalman filter (EnKF) techniques were taken into consideration. The servo-regulatory performance of the PPI controller was found satisfactory even in presence of white Gaussian noise. From the extended simulation studies, it can be inferred that EnKF-PPI control logic implemented on the nonlinear dynamical systems are having slightly better performance over EKF-PPI control law. Demonstration and practical utility of the PPI control method in the presence of process uncertainty or process-model mismatch scenario have also been investigated in this work.",
keywords = "EKF, EnKF, Parameter estimation, PPI, Van de Vusse Reactor",
author = "Atanu Panda and Parijat Bhowmick and Bishnu, {Soham Kanti} and Sanjay Bhadra and Arijit Ganguly and Malay Gangopadhyaya",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 ; Conference date: 21-04-2021 Through 24-04-2021",
year = "2021",
month = may,
day = "14",
doi = "10.1109/IEMTRONICS52119.2021.9422585",
language = "English",
isbn = "9781665440677",
series = "2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings",
publisher = "IEEE",
editor = "Satyajit Chakrabarti and Rajashree Paul and Bob Gill and Malay Gangopadhyay and Sanghamitra Poddar",
booktitle = "2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings",
address = "United States",
}