logo
calendar17 Sentabr 2025
view41
Main language:Uzbek

DEVELOPMENT OF FRACTIONAL-ORDER FUZZY PID CONTROLLER ON STM32 MICROCONTROLLER

Field of Science:
pdf

68ca382fef768.pdf

PDF

ARTICLE ANNOTATION

quote
This article presents the stages of designing intelligent controllers based on fuzzy logic for technological processes that are technically complex, especially those that require adjustments to many physical parameters. The main task of controllers of this class is to determine their optimal values and provide higher quality indicators than PID controllers in the presence of external influences and parametric uncertainties within the framework of the problem of controlling technological processes in industry. To solve the current problem, a controller combining fuzzy logic and fractional-order arithmetic is proposed. STM32 microcontrollers, in particular the STM32FG407VET6 model, were selected for the practical implementation of this type of controller, and the controller software was developed in the STM32CubeIDE environment in the C++ programming language. The article describes in depth the theoretical aspects of the evolutionary creation of the proposed controller and describes in detail the stages or sequence of creation of the control algorithm. The results of the practically organized experiments show that the controller has achieved high efficiency in controlling complex technical control systems with nonlinearity and uncertainty. The results of the conducted experimental experiments are shown through graphs and simulation diagrams obtained in the MATLAB and STM32 environments. Also, the theoretical foundations and methodological guidelines presented can serve as a valuable resource for engineers of intellectual control systems and advanced specialists in the field of automation.

AUTHORS

T.Botirov

Navoiy davlat konchilik va texnologiyalar universiteti

B.Sodiqov

Navoiy davlat konchilik va texnologiyalar universiteti

Tags

# нечеткая логика# fuzzy logic# PID controller# microcontroller# микроконтроллер# mikrokontroller# Noaniq mantiq# PID rostlagich# C++ dasturlash tili# язык программирования C++# C++ programming language# noaniqlik sharoiti# MATLAB muhiti# kasr tartibli hisoblash# PID-регулятор# условия неопределённости# среда MATLAB# дробно-порядковое исчисление# conditions of uncertainty# MATLAB environment# fractional-order calculus

OTHER ARTICLES IN THIS JOURNAL

Rate Article

0
0 ratings
5
4
3
2
1

Article Identifiers

References

AbouOmar, M. S., Zhang, H. J., & Su, Y. X. (2019). Fractional order fuzzy PID control of automotive PEM fuel cell air feed system using neural network optimization algorithm. Energies, 12(8), 1435. https://www.mdpi.com/1996-1073/12/8/1435

Al-Dhaifallah, M. (2023). Fuzzy fractional-order PID control for heat exchanger. Alexandria Engineering Journal, 63, 11–16. https://www.sciencedirect.com/science/article/ pii/S1110016822005233

Al-Dhaifallah, M., Kanagaraj, N., & Nisar, K. S. (2018). Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System. Mathematical Problems in Engineering, 2018, 5478781. https://onlinelibrary.wiley.com/doi/full/10.1155/2018/5478781

Arya, Y. (2017). AGC performance enrichment of multi-source hydrothermal gas power systems using new optimized FOFPID controller and redox �low batteries. Energy, 127, 704– 715. https://www.sciencedirect.com/science/article/abs/pii/S0360544217305212

Baboshkin, G. D., Podsizertsev, M. A., & Baboshkina, A. A. (2018). Optimizatsiya parametrov PID-regulyatora drobnogo poryadka s pomoshchyu geneticheskogo algoritma [Optimization of fractional-order PID controller parameters using genetic algorithm]. In Integration of Science, Society, Production and Industry (pp. 8–11). https://www.elibrary.ru/ item.asp?id=34888693

Bhimte, R., Bhole-Ingale, K., Shah, P., & Sekhar, R. (2020, December). Precise position control of quanser servomotor using fractional order fuzzy PID controller. In 2020 IEEE Bombay Section Signature Conference (IBSSC) (pp. 58–63). IEEE. https://ieeexplore.ieee.org/ abstract/document/9332216

Botirov, T., Sodiqov, B., Jumabaev, E., Salahiddinov, A., & Jurayeva, R. (2025). Design of a controller with an intelligent hybrid structure. In E3S Web of Conferences, 627, 04007. https://www.e3s-conferences.org/articles/e3sconf/abs/2025/27/e3sconf_ geotech2025_04007/e3sconf_geotech2025_04007.html

Dembri, R., Rahmani, L., Babes, B., Zaini, H. G., Ghoneim, S. S., Bojer, A. K., & Sharaf, A. B. A. (2024). SSO optimized FOFPID regulator design for performance enhancement of doubly fed induction generator based wind turbine system. Scientific Reports, 14(1), 28305. https:// www.nature.com/articles/s41598-024-76457-z

Grinyuk, D. A., Oliferovich, N. M., Karaban, M. A., & Novitskaya, D. O. (2024). Praktika nastroiki PID-regulyatorov [Practice of PID controller tuning]. https://elib.belstu.by/ handle/123456789/66913

Karahan, O. (2021). Design of optimal fractional order fuzzy PID controller based on cuckoo search algorithm for core power control in molten salt reactors. Progress in Nuclear Energy, 139, 103868. https://www.sciencedirect.com/science/article/pii/ S0149197021002316

Karamasheva, S. M. (2021). Issledovaniye rezhimov raboty gidrogeneratora s PID- kontrollerom drobnogo poryadka [Study of operation modes of hydrogenerator with fractional-order PID controller] (Doctoral dissertation, Siberian Federal University, Sayano- Shushensk Branch). https://elib.sfu-kras.ru/handle/2311/141901

Kumar, V., & Rana, K. P. S. (2017). Nonlinear adaptive fractional order fuzzy PID control of a 2-link planar rigid manipulator with payload. Journal of the Franklin Institute, 354(2), 993–1022. https://www.sciencedirect.com/science/article/abs/pii/S0016003216304227

Mahmudov, G. (2024). Bioreaktor uchun noravshan rostlagichning qoidalar bazasini ishlab chiqish [Development of rule base of fuzzy controller for bioreactor]. Journal of Advances in Engineering Technology, (2), 27–32. https://cyberleninka.ru/article/n/ bioreaktor-uchun-noravshan-rostlagichning-qoidalar-bazasini-ishlab-chiqish

Mao, W. L., Chen, S. H., & Kao, C. Y. (2024). Fractional-Order Fuzzy PID Controller with Evolutionary Computation for an Effective Synchronized Gantry System. Algorithms, 17(2), 58. https://www.mdpi.com/1999-4893/17/2/58

Mishra, S., Patel, S., Prusty, R. C., & Panda, S. (2020). MVO optimized hybrid FOFPID- LQG controller for load frequency control of an AC micro-grid system. World Journal of Engineering, 17(5), 675–686. https://www.emerald.com/insight/content/doi/10.1108/wje- 05-2019-0142/full/html

Oprzędkiewicz, K., Rosół, M., & Żegleń Włodarczyk, J. (2021). The frequency and real time properties of the microcontroller implementation of fractional order PID controller. Electronics, 10(5), 524. https://www.mdpi.com/2079-9292/10/5/524

Polyak, B. T., & Khlebnikov, M. V. (2022). Novyye kriterii nastroiki PID-regulyatorov [New criteria for PID controller tuning]. Automation and Remote Control, (11), 62–82. https:// www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=at&paperid=15968&option_ lang=rus

Ren, H. P., Fan, J. T., & Kaynak, O. (2018). Optimal design of a fractional-order proportional-integer-differential controller for a pneumatic position servo system. IEEE Transactions on Industrial Electronics, 66(8), 6220–6229. https://ieeexplore.ieee.org/ abstract/document/8469163

Zamani, A. A., Tavakoli, S., Etedali, S., & Sadeghi, J. (2018). Online tuning of fractional order fuzzy PID controller in smart seismic isolated structures. Bulletin of Earthquake Engineering, 16, 3153–3170. https://link.springer.com/article/10.1007/s10518-017-0294-4

Zhalilova, A. A., & Avsievich, A. V. (2023). Issledovaniye metodov i analiz nastroiki parametrov PID-regulyatora drobnogo poryadka [Study of methods and analysis of fractional- order PID controller parameter tuning]. In Mechatronics, Automation and Transport Control (pp. 35–40). https://www.elibrary.ru/item.asp?id=50419792