OPTIMIZATION OF ENERGY EFFICIENCY AND ENVIRONMENTAL FRIENDLINESS OF CEMENT PRODUCTION BASED ON THE UPGRADED AUTOMATIC CONTROL SYSTEM OF THE BALL DRUM MILL
M. R. Isaeva, M. Sh. Mintsaev, A. A.-V. Sadulaev, M.S. Salamanova
About the authors
M. R. Isaeva, M. Sh. Mintsaev, A. A.-V. Sadulaev, M.S. Salamanova
Исаева Мадина Ризвановна – к.т.н. доцент, ФГБОУ ВО "ГГНТУ им. акад. М.Д. Миллионщикова", кафедра «Автоматизация технологических процессов и производств», 364051, Чеченская Республика, г. Грозный, пр-т им. Х.А. Исаева, 100. Область научных интересов: моделирование технических систем, проектирование автоматизированных систем в строительстве.
Минцаев Магомед Шавалович – д.т.н. профессор, ректор ФГБОУ ВО "ГГНТУ им. акад. М.Д. Миллионщикова", кафедра «Автоматизация технологических процессов и производств», 364051, Чеченская Республика, г. Грозный, пр-т им. Х.А. Исаева, 100. Область научных интересов: моделирование технических систем, проектирование автоматизированных систем в геотермальной энергетике.
Саламанова Мадина Шахидовна – д.т.н. доцент, ФГБОУ ВО "ГГНТУ им. акад. М.Д. Миллионщикова", директор НТЦКП "Современные строительные материалы и технологии", 364051, Чеченская Республика, г. Грозный, пр-т им. Х.А. Исаева, 100.. Область научных интересов: строительные технологии и материалы, проведение экспериментов по строительству.
Abstract: The article is devoted to reducing the environmental impact of cement production through the introduction of clinker -free additives (slags, ash) and an upgraded ball mill speed CAP. A mathematical model has been developed that includes the dynamics of an electric drive with a PID controller, thermal protection of windings and bearings, as well as algorithms for processing sensor data. Simintech and laboratory experiments have confirmed the stability of the system (overshoot <5%, transition time — 2.5 s) and the effectiveness of overheating protection. The solution reduces CO₂ emissions by 15-20% by optimizing grinding and using recycled materials.
Moskalov K. Yu. Antsyferov S. S. Fazilova K. N. Issues of Adaptation of Organizational Structures and Product Quality of Electronics Industry Enterprises. Problems of Artificial Intelligence, 2023, No. 4 (31), pp. 12-19.
International Energy Agency. Cement 2023 Report. Paris: IEA, 2023.
Scrivener K. John V. M. Gartner E. M. Eco-efficient cements: Potential, economically viable solutions for a low-CO2 cement-based materials industry. Cement and Concrete Research, 2018, Vol. 114, pp. 2-26.
Alaskhanov M. G. Optimization of Energy Consumption of the Grinding Process in Ball Drum Mills. Cement and its Applications, 2020, No. 4, pp. 78-83.
Alashanov I. A. Salamanova R. M. Effect of Dispersion on the Properties of Cement Mixtures. Cement and its Applications, 2020, No. 3, pp. 78-85.
Isaeva M. R. Kolbasin A. M. Vasiliev Yu. E. Automation of the Production Process of an Organomineral Additive Based on Ash and Slag Mixture. Naukovedenie, 2013, No. 1 (14), pp. 806.
Marsov V. I. Mintsaev M. Sh. Isaeva M. R. Methods for Automating the Production Process of an Organomineral Additive Based on Ash and Slag Mixture. Bulletin of Moscow Automobile and Road Construction State Technical University (MADI), 2012, No. 4, pp. 105-109.
Klyuchev V.I. Electric Drive Theory. Moscow: Energoatomizdat, 2001, 704 p.
Chilikin M.G. General Course of Electric Drive. Moscow: Energy, 2018, 576 p.
Kopylov I.P. Mathematical Modeling of Electrical Machines. Moscow: Vysshaya Shkola, 2009, 439 p.
Magomadov R.S. Ezirbaev T.A. Ziniev Sh.S. et al. Features of the Introduction of Renewable Energy Sources in Russia. International Journal of Energy for a Clean Environment, 2023, Vol. 24, No. 1, pp. 129- 140.
Petrov A.V. Kovaleva E.S. Intelligent Process Control Algorithms Based on Fuzzy Controllers. Problems of Artificial Intelligence, 2022, No. 3 (30), pp. 45-56.
Sidorov D.I. Novikova O.I. Application of Machine Learning Methods for Predictive Equipment Diagnostics. Problems of Artificial Intelligence, 2023, No. 1 (28), pp. 23-34. Оптимизация энергоэффективности и экологичности цементного производства… 4И
Kozlov S.V. Frolova M.P. Optimization of Energy Consumption of Industrial Installations Using Neural Networks. Problems of Artificial Intelligence, 2021, No. 4 (27), pp. 67-78.
Belov I.A. Orlova T.K. Adaptive Automatic Control Systems Using Hybrid Algorithms. Problems of Artificial Intelligence, 2022, No. 2 (29), pp. 18-29.
Nikitina L. V. Pavlov V. G. Modeling and Analysis of Complex Technical Systems under Uncertainty. Problems of Artificial Intelligence, 2023, No. 4 (31), pp. 78-90.
Fedorov K. A. Semenova A. A. Digital Twins as a Basis for Improving the Efficiency of Production Lines. Problems of Artificial Intelligence, 2021, No. 1 (24), pp. 55-66.
Grigoriev P. S. Medvedeva E. V. Data Mining in Process Parameter Monitoring Problems. Problems of Artificial Intelligence, 2022, No. 4 (31), pp. 34-45.
Titov V. M. Vetrova N. S. Development of control algorithms based on reinforcement learning for industrial robots. Problems of Artificial Intelligence, 2023, No. 2 (29), pp. 61-72.
Orlova S.K. Krylov D.V. Methods for improving the stability of automatic control systems under disturbances. Problems of Artificial Intelligence, 2021, No. 3 (26), pp. 41-52.
Issue: 3(38)'2025 Section: AUTOMATION AND CONTROL OF TECHNOLOGICAL PROCESSES AND PRODUCTION How to cite: M. R. Isaeva, M. Sh. Mintsaev, A. A.-V. Sadulaev, M.S. Salamanova. OPTIMIZATION OF ENERGY EFFICIENCY AND ENVIRONMENTAL FRIENDLINESS OF CEMENT PRODUCTION BASED ON THE UPGRADED AUTOMATIC CONTROL SYSTEM OF THE BALL DRUM MILL // Problems of Artificial Intelligence. - 2025. - № 3 (38). - P. 125-137. - https://paijournal.guiaidn.ru/en/2025/3(38)-11.html