Non-Linear Process Identification and Control of a SISO System Using First Principle: A Real Time Case Study

In this paper a novel methodology for identifying and implementing control strategies for non-linear systems is proposed. The dynamics are modeled using a first-principle approach, and an ordinary differential equation is derived. The transfer function is approximated by the FOPTD method. An Open-loop experiment is carried out to find the FOPTD parameters. A Closed-loop control experiment is carried out to verify the models in which the IMC tuning method was used to design the controller parameters.

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Published
2025-03-07
DOI
https://doi.org/10.1109/icdt63985.2025.10986361
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Non-Linear Process Identification and Control of a SISO System Using First Principle: A Real Time Case Study

Chandra Shekar Besta, Aftab Ahamed, P Suhailam, Teja Reddy Vakamalla et al.
Fault Detection and Control Systems
article

Non-Linear Process Identification and Control of a SISO System Using First Principle: A Real Time Case Study

Chandra Shekar Besta, Aftab Ahamed, P Suhailam, Teja Reddy Vakamalla, Shibin Fazil, Karthik Manoranjan
article en

Abstract

In this paper a novel methodology for identifying and implementing control strategies for non-linear systems is proposed. The dynamics are modeled using a first-principle approach, and an ordinary differential equation is derived. The transfer function is approximated by the FOPTD method. An Open-loop experiment is carried out to find the FOPTD parameters. A Closed-loop control experiment is carried out to verify the models in which the IMC tuning method was used to design the controller parameters.

National Institute of Technology Calicut (IN)
Openalex Percentile: Top 89%
Fault Detection and Control Systems
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