Recursive least squares identification of heat exchanger system using block-structured models

Author:

Gupta Saurav1,Padhee Subhransu2ORCID,Pekar Libor34ORCID

Affiliation:

1. School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India

2. Department of Electrical and Electronics Engineering, Sambalpur University Institute of Information Technology, Burla, India

3. Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

4. Department of Technical Studies, College of Polytechnics Jihlava, Jihlava, Czech Republic

Abstract

This study provides a recursive parametric identification scheme for a liquid-saturated steam heat exchanger system. The recursive identification scheme uses block-structured Wiener and Hammerstein models as model structure and recursive least squares estimation scheme as the parameter estimation method. The estimated block-oriented model provides higher accuracy of estimation than linear models provided in the literature. From the simulation results, it is observed that the Wiener model can provide 88% goodness-of-FIT, whereas Hammerstein model can provide 96% goodness-of-FIT using the said technique.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-07-27

2. Design of fractional-order hammerstein control auto-regressive model for heat exchanger system identification: Treatise on fuzzy-evolutionary computing;Chaos, Solitons & Fractals;2024-04

3. Particle Swarm Optimization-Based Parameter Identification Method for Euler-Bernoulli Beam;2023 42nd Chinese Control Conference (CCC);2023-07-24

4. On the combined estimation of the parameters and the states of fractional-order systems;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2023-05-12

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