@inproceedings{20370627123a4daeb9b784e32a41bc38,
title = "Model-based adaptive control scheme for benchmark pH-neutralisation process",
abstract = "Control of pH has always been a critical task because of the highly complex nonlinear characteristic of the titration curve. This paper is concerned about the design of an adaptive nonlinear model-based tracking control scheme and its application in a benchmark pH-neutralisation process. The scheme exploits a deterministic process model to generate the model state which reflects the actual process dynamics, and utilises three different adaptive tuning methods to update the controller gain on real-time basis. Simulation results show that the proposed scheme ensures closed-loop stability and facilitates satisfactory set-point tracking (both time-varying and constant) performance despite parameter variation, exogenous disturbance and measurement noise. ",
keywords = "adaptive tuning, Nonlinear model-based control (NMBC), pH-neutralisation process, PI control",
author = "Sanjay Bhadra and Atanu Panda and Parijat Bhowmick",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 International Conference on Ubiquitous and Emerging Concepts on Sensors and Transducers, UEMCOS 2019 ; Conference date: 25-04-2019 Through 27-04-2019",
year = "2019",
month = apr,
doi = "10.1109/UEMCOS46508.2019.9221586",
language = "English",
series = "2019 International Conference on Ubiquitous and Emerging Concepts on Sensors and Transducers, UEMCOS 2019",
publisher = "IEEE",
booktitle = "2019 International Conference on Ubiquitous and Emerging Concepts on Sensors and Transducers, UEMCOS 2019",
address = "United States",
}