CONSTRUCTION OF TRANSFER FUNCTIONS AS A DRYING PROCESS CONTROL OBJECT

Xusanov Suban Nurullayevich

127

The purpose of modeling in the development of a model of a drying process control object is presented in the article. Approximation of the transition characteristic in the control channels, obtaining the transfer functions of the object on all the main channels of the influence transmission, the Simoyu method was used. Taking into account the fact that the main channels of the object under study have significant inertia and delay, as well as its dynamic properties, transfer functions with sufficient accuracy are proposed. The proposed mathematical model of the drying process allows for the synthesis of adaptive control laws for the considered process.

Name of journalИнновацион технологиялар
Number of edition2023/4(52)
View count 127

Web Address

DOI

Date of creation in the UzSCI system 25-05-2024

Read count 127

Date of publication 15-12-2023

Main LanguageIngliz

Pages88-93

Tags

synthesis

function

drying process

control object parameters

Simoyu method

English

The purpose of modeling in the development of a model of a drying process control object is presented in the article. Approximation of the transition characteristic in the control channels, obtaining the transfer functions of the object on all the main channels of the influence transmission, the Simoyu method was used. Taking into account the fact that the main channels of the object under study have significant inertia and delay, as well as its dynamic properties, transfer functions with sufficient accuracy are proposed. The proposed mathematical model of the drying process allows for the synthesis of adaptive control laws for the considered process.

Tags

synthesis

function

drying process

control object parameters

Simoyu method

№ Author name position Name of organisation

1 Xusanov S.N. Doctor of Philosophy (PhD) in Technical Sciences Karshi engineering-economics institute

№ Name of reference

1 [1] Shagin A.V., Demkin V.I., Kononov V.Yu. Kabanova A.B.: Osnovi avtomatizatsii texnologicheskix protsessov [Fundamentals of process automation]. Handbook, Yurayt (2017).

2 [2] Sxirtladze, A. G.: Avtomatizatsiya texnologicheskix protsessov i proizvodstv [Automation of technological processes and production]. Abris, Moskva (2012), 565p.

3 [3] Igamberdiyev, X.Z., Sevinov, J.U., Zaripov, O.O.: Regulyarniye metodi i algoritmi sinteza adaptivnix system upravleniya s nastraivayemimi modelyami [Regular methods and algorithms for the synthesis of adaptive control systems with customizable models], Tashkent: TSTU (2014) 160p.

4 [4] Mallayev, A.R., Xusanov, S.N.: Estimation of Parameters of Settings of Regulators Based on Active Adaptation Algorithm. International Journal of Advanced Research in Science, Engineering and Technology 6(8), 10376-10380 (2019).

5 [5] Mallaуеv, A.R., Xusanov, S.N., Sеvinov, J.U.: Algorithms for thе sуnthеsis of stabilizing statе controllеrs for discrеtе objеcts basеd on linеar matrix inеqualitiеs. Intеrnational Journal of Advancеd Rеsеarch in Sciеncе, Еnginееring and Tеchnologу 8(3), 16979-16986 (2021).

6 [6] Kolesnikov, A.A.: Modern Applied Control Theory: Synergetic Approach in Control Theory, Taganrog, Tomsk (2000).

7 [7] Yusupbekov, N.R., Igamberdiev, H.Z., Sevinov, J.U.: Formalization of Identification Procedures of Control Objects as a Process in the Closed Dynamic System and Synthesis of Adaptive Regulators. Journal of Advanced Research in Dynamical and Control Systems. 12(06). 77-88 (2020). doi:10.5373/JARDCS/V12SP6/SP20201009.

8 [8] Mallaev, А.R., Xusanov, S.N., Sevinov, J.U.: Algorithms of Nonparametric Synthesis of Discrete One-Dimensional Controllers, International Journal of Advanced Science and Technology, 29(5 Special Issue), 1045-1050 (2020)

9 [9] Sevinov, J.U., Mallaev, A.R., Xusanov, S.N.: Algorithms for the Synthesis of Optimal LinearQuadratic Stationary Controllers. 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_9.

10 [10] Mallaуеv, A.R., Xusanov, S.N.: Algorithms for sуnthеsis of discrеtе controllеrs in nonlinеar control sуstеms with dеlaу. Chеmical Tеchnologу, Control and Managеmеnt: 2021(2), 80-86 (2021). doi: httрs://doi.org/10.51346/tstu-02.21.1-77-0012.

11 [11] Egupov, N.D., Pupkov, K.A.: Metodi klassicheskoy i sovremennoy teorii avtomaticheskogo upravleniya [Methods of classical and modern theory of automatic control]. Handbook (5 chapter), MGTU im.N.E.Baumana (2004).

12 [12] Igamberdiyev, H., Sevinov, J., Khusanov, S.: Controllers Synthesis Algorithms in the Construction of Discrete Control Systems for Technological Objects. (2023) Lecture Notes in Networks and Systems, 762 LNNS, pp. 426-439.

13 [13] Aleksandrov, A.G.: Optimalniye i adaptivniye sistemi, Nauka, Moscow (2003) 278p.

14 [14] Voskoboynikov Yu.Е. Ustoychiviye metodi i algoritmi parametricheskoy идентификации. – Novosibirsk: NGASU (Sibstrin), 2006. –180 s.

15 [15] Kabanixin S.I. Obratniye i nekorrektniye zadachi. Uchebnik dlya studentov visshix учебных zavedeniy. – Novosibirsk: Sibirskoye nauchnoye izdatelstvo, 2009. –457 s

16 [16] Malin A.S., Muxin V.I. Issledovaniye sistem upravleniya. Izd-vo: GU VSHE, 2005. –400 s.

17 [17] Kuzmenko, N.V. Avtomatizatsiya texnologicheskix protsessov i proizvodstv : uchebnoye posobiye : v 2 ch. / N. V. Kuzmenko. – Angarsk, 2005. Ch. 1. –78 s.

18 [18] Richard C Dorf,. Robert H Bishor. Modern Control Sustems, Twelfth yeition, 2010. –890 r

19 [19] Karabutov N.N.Adaptivnaya identifikatsiya sistem: informatsionniy sintez. 2006.-384 s.

20 [20] Sikunov A.M. Adaptivnoye upravleniye s kompensatsiyey vliyaniya zapazdivaniya v upravlyayushem vozdeystvii // Izvestiya akademii nauk. Teoriya i sistemi upravleniya, №4, 2000. -S.78-81.

Waiting

№	Name of reference
1	[1] Shagin A.V., Demkin V.I., Kononov V.Yu. Kabanova A.B.: Osnovi avtomatizatsii texnologicheskix protsessov [Fundamentals of process automation]. Handbook, Yurayt (2017).
2	[2] Sxirtladze, A. G.: Avtomatizatsiya texnologicheskix protsessov i proizvodstv [Automation of technological processes and production]. Abris, Moskva (2012), 565p.
3	[3] Igamberdiyev, X.Z., Sevinov, J.U., Zaripov, O.O.: Regulyarniye metodi i algoritmi sinteza adaptivnix system upravleniya s nastraivayemimi modelyami [Regular methods and algorithms for the synthesis of adaptive control systems with customizable models], Tashkent: TSTU (2014) 160p.
4	[4] Mallayev, A.R., Xusanov, S.N.: Estimation of Parameters of Settings of Regulators Based on Active Adaptation Algorithm. International Journal of Advanced Research in Science, Engineering and Technology 6(8), 10376-10380 (2019).
5	[5] Mallaуеv, A.R., Xusanov, S.N., Sеvinov, J.U.: Algorithms for thе sуnthеsis of stabilizing statе controllеrs for discrеtе objеcts basеd on linеar matrix inеqualitiеs. Intеrnational Journal of Advancеd Rеsеarch in Sciеncе, Еnginееring and Tеchnologу 8(3), 16979-16986 (2021).
6	[6] Kolesnikov, A.A.: Modern Applied Control Theory: Synergetic Approach in Control Theory, Taganrog, Tomsk (2000).
7	[7] Yusupbekov, N.R., Igamberdiev, H.Z., Sevinov, J.U.: Formalization of Identification Procedures of Control Objects as a Process in the Closed Dynamic System and Synthesis of Adaptive Regulators. Journal of Advanced Research in Dynamical and Control Systems. 12(06). 77-88 (2020). doi:10.5373/JARDCS/V12SP6/SP20201009.
8	[8] Mallaev, А.R., Xusanov, S.N., Sevinov, J.U.: Algorithms of Nonparametric Synthesis of Discrete One-Dimensional Controllers, International Journal of Advanced Science and Technology, 29(5 Special Issue), 1045-1050 (2020)
9	[9] Sevinov, J.U., Mallaev, A.R., Xusanov, S.N.: Algorithms for the Synthesis of Optimal LinearQuadratic Stationary Controllers. 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_9.
10	[10] Mallaуеv, A.R., Xusanov, S.N.: Algorithms for sуnthеsis of discrеtе controllеrs in nonlinеar control sуstеms with dеlaу. Chеmical Tеchnologу, Control and Managеmеnt: 2021(2), 80-86 (2021). doi: httрs://doi.org/10.51346/tstu-02.21.1-77-0012.
11	[11] Egupov, N.D., Pupkov, K.A.: Metodi klassicheskoy i sovremennoy teorii avtomaticheskogo upravleniya [Methods of classical and modern theory of automatic control]. Handbook (5 chapter), MGTU im.N.E.Baumana (2004).
12	[12] Igamberdiyev, H., Sevinov, J., Khusanov, S.: Controllers Synthesis Algorithms in the Construction of Discrete Control Systems for Technological Objects. (2023) Lecture Notes in Networks and Systems, 762 LNNS, pp. 426-439.
13	[13] Aleksandrov, A.G.: Optimalniye i adaptivniye sistemi, Nauka, Moscow (2003) 278p.
14	[14] Voskoboynikov Yu.Е. Ustoychiviye metodi i algoritmi parametricheskoy идентификации. – Novosibirsk: NGASU (Sibstrin), 2006. –180 s.
15	[15] Kabanixin S.I. Obratniye i nekorrektniye zadachi. Uchebnik dlya studentov visshix учебных zavedeniy. – Novosibirsk: Sibirskoye nauchnoye izdatelstvo, 2009. –457 s
16	[16] Malin A.S., Muxin V.I. Issledovaniye sistem upravleniya. Izd-vo: GU VSHE, 2005. –400 s.
17	[17] Kuzmenko, N.V. Avtomatizatsiya texnologicheskix protsessov i proizvodstv : uchebnoye posobiye : v 2 ch. / N. V. Kuzmenko. – Angarsk, 2005. Ch. 1. –78 s.
18	[18] Richard C Dorf,. Robert H Bishor. Modern Control Sustems, Twelfth yeition, 2010. –890 r
19	[19] Karabutov N.N.Adaptivnaya identifikatsiya sistem: informatsionniy sintez. 2006.-384 s.
20	[20] Sikunov A.M. Adaptivnoye upravleniye s kompensatsiyey vliyaniya zapazdivaniya v upravlyayushem vozdeystvii // Izvestiya akademii nauk. Teoriya i sistemi upravleniya, №4, 2000. -S.78-81.