AP19674691 – Development, research and industrial testing of mathematical models and intelligent process control algorithms for the production of premium quality phosphoric acid
Objective of the project: The purpose of the project is the development, research and industrial testing at the Novodzhambyl Phosphorus Plant (NDPP) of mathematical models and intelligent algorithms for controlling the process of purification of thermal phosphoric acid in optimal modes.
Relevance: The proposed project is aimed at researching and creating optimal process control systems. The methods and means for synthesizing hybrid (intelligent + mathematical) optimal control models developed during the project can be used to create control systems for any other technological processes.
Scientific adviser: Doctor of Technical Sciences, Professor, Suleimenov Batyrbek Aitbaevich
Results: During the research work, a comprehensive assessment of Workshop No. 5 for the production of grade A phosphoric acid was carried out, identifying key technological processes and initial parameters. Mathematical and intelligent models of impurity precipitation, hydrogen sulfide absorption, and desorption processes were developed and experimentally validated. Industrial testing of the proposed control algorithms confirmed their effectiveness in improving process performance. Optimization led to increased product yield, improved quality, and reduced reagent consumption. The solutions were implemented using modern automation tools, including the OPC DA standard and an intelligent controller. The obtained results demonstrate a high scientific and technical level and readiness of the technology for further implementation.
List of publications with links to them
- Shiryayeva O., Suleimenov B., Kulakova Ye. Optimal design of I-PD and PI-D industrial controllers based on artificial intelligence algorithm // Algorithms. – 2024. – Vol. 17, № 7. – P. 288. – DOI: 10.3390/a17070288. – URL: https://doi.org/10.3390/a17070288
- Сулейменов Б.А., Жайлымысова Г.Т. Разработка и исследование интеллектуальных алгоритмов оптимального управления процессом очистки фосфора // Вестник КазУТБ. – 2024. – Т. 1, № 22. – DOI: 10.58805/kazutb.v.1.22-269. – URL: https://vestnik.kaztbu.edu.kz/index.php/kazutb/article/view/269
- Сулейменов Б.А. Фосфорды тазалау процесін тиімді бақылау үшін интеллектуалды алгоритмдердің жасалуы және зерттелуі // Механика және технологиялар. – 2024. – № 2(84). – Б. 389–404. – DOI: 10.55956/JRJB2168. – URL: https://doi.org/10.55956/JRJB2168
- Сулейменов Б.А., Жайлымысова Г.Т. Самостоятельная работа магистранта – основа овладения навыками применения ИИ в промышленности // Материалы международной научно-практической конференции. – Республика Казахстан: КазНПУ им. Абая, 2024. – С. 673–678.
- Suleimenov B.A., Zhailymyssova G.T. Development and research of intelligent algorithms for optimal control of the phosphorus purification process // Proceedings of the International Scientific and Practical Conference AIACIT. – Almaty: Almaty Energo University, 2024.
- Shiryayeva O., Suleimenov B., Kulakova Ye. Sustainable technologies in extractive metallurgy using intelligent control algorithms: development, research and industrial testing of model // Technologies. – 2025. – Vol. 13, № 7. – P. 269. – DOI: 10.3390/technologies13070269. – URL: https://www.scopus.com/pages/publications/105011645787
- Suleimenov B., Shiryayeva O., Gorbunov D. Digital twin-based MPC for industrial MIMO automation: intelligent algorithms // Automation. – 2026. – Vol. 7, № 1. – P. 8. – DOI: 10.3390/automation7010008. – URL: https://doi.org/10.3390/automation7010008