PID Regulator and Fuzzy-Digital Filter Combination in the Thermoelement Control Task
https://doi.org/10.17587/mau.23.473-480
Abstract
The thermoelement control system basis on the fuzzy logic has been developed in this article. This system improves the stability characteristics of devices using a PID controller in their structure. This effect is achieved by reducing the output signal, the value of which is calculated using a fuzzy digital filter. The main aspect of the fuzzy digital filter is the use of the area ratio method during defuzzifing. The limitation of this method is the use of triangular membership functions. The experimental results presented in the article demonstrate the effectiveness of the proposed solution. The study has shown that the time of transient processes with the combined control of the thermoelement is reduced by 16—22 %.
About the Authors
M. V. Bobyr
South West State University
Russian Federation
Russian Federation
Bobyr Maksim V., Doctor of Science, Professor
Kursk, 305040
N. A. Milostnaya
South West State University
Russian Federation
Russian Federation
Kursk, 305040
C. A. Nolivos
South West State University
Russian Federation
Russian Federation
Kursk, 305040
References
1. Nadezhdin I. S., Gorjunov A. G., Flavio M. Control systems for a non-stationary object based on MPC controller and PID controller with fuzzy logic, Upravlenie bol’shimi sistemami: sbornik trudov, 2018, no. 75, pp. 50—75 (in Russian).
2. Belov M. P., Chyong D. D. Synthesis of a PID controller of a self-adjusting nonlinear exoskeleton electric drive control system using a neural network, Izvestija SPBGETU LETI, 2021, no. 3, pp. 55—64 (in Russian).
3. Alkargole H. M., Hassan A. S., Hussein R. T. Analyze and Evaluate the Performance Velocity Control in DC Motor, Radiojelektronika. Nanosistemy. Informacionnye tehnologii., 2020, vol. 12, no. 4. pp. 507—516.
4. Baranov O. V. Algorithm for setting the stabilizing PID controller of the quadcopter, Izvestija vysshih uchebnyh zavedenij. Priborostroenie, 2021, vol. 64, no. 10, pp. 829—838 (in Russian).
5. Najak J. R. et al. Application of optimized adaptive crow search algorithm based two degrees of freedom optimal fuzzy PID controller for AGC system, Engineering Science and Technology, an International Journal, 2022, vol. 32, pp. 101061.
6. Sain D., Mohan B. M. Simulation and real-time implementation of a nonlinear fuzzy PI/PD controller,IFAC-PapersOnLine, 2020, vol. 53, no. 1, pp. 673—678.
7. Kudinov Ju. I., Kelina A. Ju. Simplified method for determining the parameters of fuzzy PID controllers, Mekhatronika, Avtomatizatsiya, Upravlenie, 2013, no. 1, pp. 12—22 (in Russian).
8. Zhusubaliyev Z. T., Medvedev A., Silva M. M. Bifurcation analysis of PID-controlled neuromuscular blockade in closed-loop anesthesia, Journal of Process Control, 2015, vol. 25, pp. 152—163.
9. Bobyr M. V., Kulabuhov S. A., Jakushev A. S. Autonomous cutting tool cooling system in a CNC machine control task. Part I, Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 8, pp. 469—473 (in Russian).
10. Bobyr M. V., Kulabuhov S. A., Jakushev A. S. Autonomous cutting tool cooling system in a CNC machine control task. Part II, Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 8, pp. 558—563 (in Russian).
11. Bobyr M. V., Milostnaja N. A., Bulatnikov V. A. The fuzzy filter based on the method of areas’ ratio, Applied Soft Computing, 2022, pp. 108449 (in Russian).
12. Bobyr M. V. et. al. Investigation of fuzzy digital filter device for robot manipulator, Izvestija Jugo-Zapadnogo gosudarstvennogo universiteta, 2020, vol. 24, no. 1, pp. 115—129 (in Russian).
13. Kummings L., Russkih M. Using non-standard thermistors with a family of temperature-to-digital converters, Komponenty i tehnologii, 2021, no. 5, pp. 17—22 (in Russian).
14. Arduino Documentation: Language Reference: Description about the map function URL: https://www.arduino.cc/reference/en/language/functions/math/map/
15. Bobyr M. V., Yakushev A. S., Dorodnukh A. A. Fuzzy devices for cooling the cutting tool of the CNC machine implemented on FPGA, Measurement: Journal of the International Measurement Confederation, 2020, vol. 152, pp. 107378.
16. Ushkin I. S., Shumilkin A. A., Adilov R. M. Using PID controllers in automatic control systems, Uspehi sovremennogo estest voznanija, 2011, no. 7, pp. 226—226.
17. Bobyr’ M. V., Luneva M. Ju., Nolivos K. A. Fuzzy digital filter to control the ARMino robotic arm, Mekhatronika, Avtomatizatsiya, Upravlenie, 2019, vol. 20, no. 4, pp. 244—250 (in Russian).
18. Bobyr M. V., Titov V. S., Belyaev A. Fuzzy system of distribution of braking forces on the engines of a mobile robot, MATEC Web Conf, 2016, vol.79, pp. 1052.
Review
For citations:
Bobyr M.V., Milostnaya N.A., Nolivos C.A. PID Regulator and Fuzzy-Digital Filter Combination in the Thermoelement Control Task. Mekhatronika, Avtomatizatsiya, Upravlenie. 2022;23(9):473-480. (In Russ.) https://doi.org/10.17587/mau.23.473-480
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