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DEVELOPMENT OF AN OPTIMAL CONTROL SYSTEM FOR A COMPLEX TECHNOLICAL PROCESS BASED ON METAHEURISTIC ALGORITHMS OF SWARM INTELLIGENCE AND INDUSTRIAL EQUIPMENT OF THE HONEYWELL COMPANY

https://doi.org/10.55452/1998-6688-2021-18-1-150-156

Abstract

The article discusses the issue of optimal control of a complex MIMO object based on modern methods of swarm intelligence. A distillation column for the gas purification process was chosen as a typical control object, which was implemented by intelligent control. It is proposed to use metaheuristic algorithms based on the behavior of a dragonfly and optimization of a grey wolf to solve the problem of optimal synthesis of industrial controllers. The article introduces the prospects for the implementation of the developed methods for an automatic process control system in the Experion PKS environment based on Honeywell equipment. The intelligent PI control strategy has been implemented for the C300 PLC, the control station and the operator screen has been configured for the technological process.

About the Authors

T. Samigulin
Казахстанско-Британский технический университет; Satbayev University
Kazakhstan


O. Shiryaeva
Институт информационных и вычислительных технологий; Satbayev University
Kazakhstan


References

1. Darwish A. Bio-inspired computing: algorithms review, deep analysis, and the scope of applications // Future Computing and Informatics Journal. – 2018. – Vol.3, №2. – P. 231-246.

2. Koroteev D., Tekic Z. Artificial intelligence in oil and gas upstream: trends, challenges, and scenarious for the future // Energy and AI. – 2021. – Vol. 3. – 10 p.

3. Skogestad S., Morari M. LV-control of a high-purity distillation column // IFAC Proceeding Volumes. – 1987. – Vol. 20, №5, - P. 387-396.

4. Skogestad S., Postlethwaite I. Multivariable Feedback Control: Analysis and Design. John Wiley & Sons, Inc., Hoboken, NJ, USA. – 2005.

5. Zolghadr-Asli B., Bozorg-Haddad O., Chu X. Dragonfly Algorithm (DA) // Advanced Optimization by Nature-Inspired Algorithms. – Springer, Singapore. – 2017. – P. 151-159.

6. Magarja M., Heidari A., Faris H., Mirjalili S, Aljarah I. Dragonfly algorithm: Theory, Literature Review, and Application in Feature Selection//Nature-Inspired Optimizers, Studies in Computational Intelligence. – 2020. – Springer Nature, Switzerland AG.

7. Mirjalili S. Dragonfly algorithm: a new meta-heuristic optimization technique for solving singleobjective, discrete, and multi-objective problems//Neural Computing and Applications. – Vol. 27, №4. – 2015. – P. 1053-1073.

8. Rahman C., Rashid T. Dragonfly algorithm and its applications in applied science-survey // Computational Intelligence and Neuroscience. – 2019. – 21 p.

9. Malik H., Srivastava S., Sood Y. R., Ahmad A. Applications of Artificial Intelligence Techniques in Engineering // Advances in intelligent systems and computing. – Springer Nature Singapore. – Vol. 698. – 2019. – P. 501 – 507.

10. Mirjalili S., Dong J. Multi-objective Grey Wolf Optimizer // Multi-Objective Optimization using Artificial Intelligence Techniques. – Springer, Cham. – 2019. – P. 47-58.

11. Wang J., Li S. An Improved Grey Wolf Optimizer Based on Differenctial Evolution and Elimination Mechanism // Scientific Reports. – 2019. https://doi.org/10.1038/s41598-019-43546-3


Review

For citations:


Samigulin T., Shiryaeva O. DEVELOPMENT OF AN OPTIMAL CONTROL SYSTEM FOR A COMPLEX TECHNOLICAL PROCESS BASED ON METAHEURISTIC ALGORITHMS OF SWARM INTELLIGENCE AND INDUSTRIAL EQUIPMENT OF THE HONEYWELL COMPANY. Herald of the Kazakh-British technical university. 2021;18(1):150-156. (In Russ.) https://doi.org/10.55452/1998-6688-2021-18-1-150-156

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ISSN 1998-6688 (Print)
ISSN 2959-8109 (Online)