SYNTHESIS OF A CONTROL SYSTEM FOR A NON-STATIONARY DYNAMIC PLANT BASED ON A REGULATOR-PREDICTOR

Authors

Isamiddin Hakimovich Siddikov, Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: isamiddin54@gmail.com, Phone: +998-90-359-52-68;Follow
Begovot Sheraliyevich Ibragimov, Karshi Engineering Economics Institute. Address: 225 Mustakillik st., 180100, Karshi city, Republic of Uzbekistan. E-mail: ibragimovbekobod@gmail.com, Phone: +998-93-594-60-90.Follow

Abstract

The paper considers the issues of synthesizing a predictor controller as part of a control system for a non-stationary dynamic plant with a predictive model. Technological processes in industry, in essence, have non-stationarity properties, the parameters of which can change during the execution of technological operations. To control such nonstationary dynamic control plants, controllers built on the basis of predictive models have found wide application. The article is devoted to the issue of studying automatic control systems of a non-stationary dynamic plant with a base regulator-predictor. To synthesize a regulator - predictor, it is proposed to use a predictive model of a non-stationary plant, which makes it possible to ensure the best trajectory of the controlled variable feature of using the regulator – predictor the presence of an accurate model of the plant. A mathematical model of the impregnation reservoir has been developed in an analytical method using material balance controls. To determine the value of optimal control actions, the least squares method was used. To check the reliability of the proposed methodology, a simulation experiment was carried out, changing the parameters of the control plant to produce a harmonic effect with a certain amplitude and frequency. Based on the obtained transient processes, the quality indicators of the control system were determined. Comparative and analysis of the results obtained allowed us to draw a conclusion about the advantages of the proposed regulator-predictor over others.

First Page

38

Last Page

47

References

1. Siddikov, I.X., Izmaylova, R.N., Siddikov, A.I. (2022, November). Structural-parametric adaptation of fuzzy-logical control system. In AIP Conference Proceedings (Vol. 2486, No. 1). AIP Publishing.
2. Ibragimov, B.Sh. (2022). Matematicheskaya model protsessa regulirovki materialnogo balansa pri otbelivanii tkani (na primere vanni s rastvorom) [Mathematical model of the process of regulating the material balance during fabric bleaching (using the example of baths with a solution)]. Internauka Uchrediteli: Obshestvo s ogranichennoy otvetstvennostyu "Internauka", 47-50. (in Russian).
3. Siddikov, I., Khalmatov, D., Alimova, G., Khujanazarov, U., Sadikova, F., Usanov, M. (2024). Investigation of auto-oscilational regimes of the system by dynamic nonlinearities. International Journal of Electrical and Computer Engineering (IJECE). 14(1), 230-238. DOI: 10.11591/ijece.v14i1.pp230-238.
4. Nayhouse, M., Tran, A., Kwon, J.S.I., Crose, M., Orkoulas, G., Christofides, P.D. (2015). Modeling and control of ibuprofen crystal growth and size distribution. Chemical Engineering Science. 134, 414-422.
5. Golosovskiy, M.S., Bogomolov, A.V., Terebov, D.S., Yevtushenko, Ye.V. (2018). Algoritm nastroyki sistemi nechyotkogo logicheskogo vivoda tipa Mamdani [Algorithm for setting up a Mamdani-type fuzzy inference system]. Vestnik Yujno-Uralskogo gosudarstvennogo universiteta. Seriya: Matematika. Mexanika. Fizika, 10 (3), 19-29. (in Russian).
6. Nadejdin, I.S., Goryunov, A.G., Manenti, F. (2018). Sistemi upravleniya nestatsionarnim obyektom na osnove mpc-regulyatora i PID-regulyatora s nechetkoy logikoy [Control systems for non-stationary objects based on MPC controller and PID controller with fuzzy logic]. UBS, 75, 50-75. (in Russian).
7. Siddikov, I.K., Rustamova, M.B. (2020). Calculation оf Continuous Discrete Systems with Multiple Synchronous Interruptions. The American Journal of Engineering and Technology. 2(08), 85-93. https://usajournalshub.com/index.php/tajet/article/view/826/779
8. Hakimovah, S.I., Ergashbaevich, I.Z. (2021). Algorithm for the Synthesis of a Self-tuning Neural Netresearch Control System for Multicomponent Dynamic Plant. In: Aliev, R.A., Yusupbekov, N.R., Kacprzyk, J., Pedrycz, W., Sadikoglu, F.M. (eds) 11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020). WCIS 2020. Advances in Intelligent Systems and Computing, vol 1323. Springer, Cham. https://doi.org/10.1007/978-3-030-68004-6_57
9. Usmanov, R., Siddikov, I., Yakubova, N., Rahmanov, A. (2018). Adaptive identification of the Neural system of Controlling nonlinear Dynamic Plant. International Journal of Advanced Research in Science, Engineering and Technology, 5(2), 5195-5199.
10. Ibragimov, B. (2023). Mathematical description of a bleach impregnation reservoir. Chemical Technology, Control and Management, 2023(2), 79-85.
11. Siddikov, I.X., Mamasodikova, N.Y., Khalilov, M.A., Amonov, A.K., Sherboboyeva, G.B. (2020, November). Formalization of the task of monitoring the technological safety of industrial facilities in conditions of indistinctness of the initial information. Journal of Physics: Conference Series. 1679(3), 032022.
12. Siddikov, I., Umurzakova, D. (2019). Sintez adaptivnoy neyro-nechetkoy sistemi upravleniya nelineynix dinamicheskix obyektov [Synthesis of an adaptive neuro-fuzzy control system for nonlinearity of dynamic objects]. Jeleznodorojniy transport: aktualniye zadachi i innovatsii, 1(1), 54-73. (in Russian).
13. Juraev, A.K., Jurayev, F.D., Eshkobilov, S.B., Ibragimov, B.S., Norboev, O.N. (2023). Nonlinear control object identification problems: Methods and approaches. E3S Web of Conferences, 392, 02043.
14. Isamiddin Siddikov, Begovot Ibragimov, and Malika Rustamova "Synthesis of an adaptive digital system for modal control of a dynamic plant", Proc. SPIE 13217, Third International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2024), 1321714 (31 July 2024); https://doi.org/10.1117/12.3035648
15. Siddique N. (2014). Fuzzy control. Studies in Computational Intelligence. 517, 95-135.
16. Siddikov, I., Khalmatov, D., Alimova, G., Feruzaxon, S., Usanov, M. (2024). Investigation of auto-oscilational regimes of the system by dynamic nonlinearities. International Journal of Electrical and Computer Engineering, 14(1), 230-238.
17. Siddikov, I., Mamasodikov, Y., Mamasodikova, N., Jurayeva, G., Simulation modeling of a synergetic chemical reactor control system. BIO Web of Conferences, 84, 05026.
18. Siddikov, I., Khalmatov, D., Khushnazarova, D. (2023). Synthesis of synergetic laws of control of nonlinear dynamic plants. E3S Web of Conferences, 452, 06024.
19. Siddikov, I.X., Umurzakova, D.M. (2021). Configuring Smith Predictor Parameters for a Variable Line Feature. 15th International IEEE Scientific and Technical Conference Dynamics of Systems, Mechanisms and Machines, Dynamics 2021 – Proceedings.
20. Siddikov, I., Mamasodikov, Y., Mamasodikova, N., Khujanazarov, U. (2023). Methods for optimizing data processing based on fuzzy adjustment of time series elements and identification model variables. E3S Web of Conferences, 452, 03010.

Recommended Citation

Siddikov, Isamiddin Hakimovich and Ibragimov, Begovot Sheraliyevich (2024) "SYNTHESIS OF A CONTROL SYSTEM FOR A NON-STATIONARY DYNAMIC PLANT BASED ON A REGULATOR-PREDICTOR," Chemical Technology, Control and Management: Vol. 2024: Iss. 4, Article 5.
DOI: https://doi.org/10.59048/2181-1105.1580