IMPROVING THE QUALITY OF REGULATION OF CONTROL SYSTEMS WITH UNCLEAR INITIAL INFORMATION

This article presents a study of the properties of an automatic control system with a fuzzy controller, which includes a fuzzy pseudo-linear correction device with phase advance and a PID controller.
One of the promising and effective approaches of the modern theory of control of complex technological systems in conditions of uncertainty caused by the fuzziness of initial information is an approach based on the use of expert assessment methods and the theory of fuzzy sets [1,2]. Technological processes characterized by multi-criteria function mainly in a fuzzy environment. Therefore, for optimal control of the operating modes of such systems, it is necessary to take into account the vectors of criteria and the fuzziness of the initial information. One of the alternative methods of building control and regulation systems for objects that are indistinctly defined from the point of view of classical theory is the use of so-called fuzzy logic controllers.
Therefore, the development of fuzzy control controllers based on existing microcontrollers is a very urgent task, since a pseudo-linear fuzzy controller built on the basis of fuzzy sets and fuzzy logical I/O, under the condition of uncertainty of the disturbing effect, is able to provide higher quality indicators of the transient process than a traditional PID controller.
As pseudolinear correction devices (PKU) we use: Amplitude-suppressed, phase-ahead, and with separate channels for amplitude and phase, since one of the main disadvantages of the PID controller is the presence of a phase delay and high sensitivity to interference in the measuring channel.

1. Dzharratino D. Ehkspertnye sistemy: printsipy razrabotki i programmirovanie / D. Dzharratino – 4-e izd. – M: OOO «I.D. Vil'yamS», 2007. – 1152 s. (In Russian).

2. Gronostajski Z. The expert system supporting the assessment of the durability of forging tools / Z. Gronostajski // International journal of advanced manufacturing technology. – 2016. – V. 82. – № 9. – P. 1973-1991. (In English).

3. Skorospeshkin M.V. Psevdolineinyi regulyator / M.V. Skorospeshkin // Avtomatika i programmnaya inzheneriya. – 2013. – № 3(5). – S.27-29. (In Russian).

4. Lur'e B.A. Klassicheskie metody avtomaticheskogo upravleniya / B.A. Lur'e – Spb.: BKHV. Peterburg, S. 204-640. (In Russian).

5. Gostev V.I. Proektirovanie nechetkikh regulyatorov dlya sistem avtomaticheskogo upravleniya / V.I. Gostev – SPb.: BKHV-Peterburg, 2011. – 416 s. (In Russian).

6. Gostev V.I. Nechetkie regulyatory v sistemakh avtomaticheskogo upravleniya / V.I. Gostev –K.: Radiomator, 2008. – 972 s. (In Russian).

7. Kushcheva E.S. Razrabotka, issledovanie i programmnaya realizatsii adaptivnogo nechetkogo psevdolineinogo regulyatora [Ehlektronnyi resurs] / E.S. Kushcheva – Rezhim dostupa: https://earchive.tpu.ru/bitstream/11683/38627/1/TPU361680.pdf. (In Russian).

8. Van L., Dun B. Nechetkii adaptivnyi PID-regulyator [Ehlektronnyi resurs] / L. Van, B. Dun; nauch. ruk. V. M. Skorospeshkin // II Mezhdunarodnaya nauchno-prakticheskaya konferentsiya «Nauchnaya initsiativa inostrannykh studentov i aspirantoV», g. Tomsk, 26-28 aprelya 2022g. / Natsional'nyi issledovatel'skii Tomskii politekhnicheskii universitet (TPU). (In Russian).

9. Topcheev YU.I. Nelineinye sistemy avtomaticheskogo upravleniya / YU.I. Topcheev – M.: Mashinostroenie, 1971. – 470 s. (In Russian).

10. Kulenko M.S. Issledovanie primeneniya nechetkikh regulyatorov v sistemakh upravleniya tekhnologicheskimi protsessami / M.S. Kulenko // Vestnik IGEHU. – 2010. – № 2. (In Russian).

11. Skorospeshkin M.V. Adaptivnye psevdolineinye korrektory dinamicheskikh kharakteristik sistem avtomaticheskogo regulirovaniya / M.V. Skorospeshkin // Izvestiya Tomskogo politekhnicheskogo universiteta. – 2006. – T. 309. – № 7. – S. 172-176. (In Russian).