AN’ANAVIY VA SUN'IY INTELLEKTGA ASOSLANGAN BOSHQARUV TIZIMLARINING QIYOSIY TAHLILI (MS1H1 SERVO MOTORI MISOLIDA)

AN’ANAVIY VA SUN'IY INTELLEKTGA ASOSLANGAN BOSHQARUV TIZIMLARINING QIYOSIY TAHLILI (MS1H1 SERVO MOTORI MISOLIDA)

##article.authors##

  • Pirmatov Nurali Berdiyarovich
  • Egamov Akmal Mamarasulovich
  • Mamarasulov Nodir Akmal o’g’li

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https://doi.org/10.5281/zenodo.20346653

##article.subject##:

servomotor, PID regulyatori, Fuzzy-PID, noaniq mantiq (Fuzzy Logic), sun’iy intellekt, MATLAB/Simulink, INOVANCE MS1H1-75B30CB, dinamik xarakteristikalar, avtomatik boshqaruv tizimi, adaptiv boshqaruv, robototexnika, sanoat avtomatikasi

##article.abstract##

Zamonaviy sanoat avtomatikasi va robototexnika tizimlarida servo motorlarni yuqori aniqlik va tezkorlik
bilan boshqarish muhim masalalardan biri hisoblanadi. Ushbu maqolada INOVANCE MS1H1-75B30CB servo motori
misolida an’anaviy PID hamda sun’iy intellektga asoslangan gibrid Fuzzy-PID boshqaruv tizimlarining dinamik xarakteristikalari
qiyosiy tahlil qilingan. Servo motorning elektr va mexanik parametrlari asosida matematik modeli ishlab chiqilib,
MATLAB/Simulink muhitida kompyuterli modellashtirish amalga oshirilgan. Tadqiqot davomida noaniq mantiq algoritmlarining
PID regulyatori parametrlarini real vaqt rejimida moslashtirish imkoniyatlari o‘rganilgan. Simulyatsiya natijalari
Fuzzy-PID boshqaruvchisi tizimning og‘ishini kamaytirishi, tebranishlarni bartaraf etishi, barqarorlashish vaqtini qisqartirishi
va boshqaruv aniqligini oshirishini ko‘rsatdi. Olingan natijalar intellektual boshqaruv algoritmlarining murakkab sanoat
tizimlarida yuqori samaradorlikka ega ekanligini tasdiqlaydi

Биографии авторов

Pirmatov Nurali Berdiyarovich

Toshkent davlat texnika universiteti
Elektr mashinalari va yuritmalari muhandisligi kafedrasi professori


Egamov Akmal Mamarasulovich

Toshkent davlat texnika universiteti
Elektr mashinalari va yuritmalari muhandisligi kafedrasi katta o’qituvchisi


Mamarasulov Nodir Akmal o’g’li

Toshkent davlat texnika universiteti
Elektr mashinalari va yuritmalari muhandisligi kafedrasi tayanch doktoranti

Библиографические ссылки

R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control, Prentice Hall, 2001, pp. 15–18.

K. J. Åström va T. Hägglund, Advanced PID Control, ISA, 2006, pp. 45–50.

W. Bolton, Mechatronics: Electronic Control Systems in Mechanical and Electrical Engineering, Pearson, 2015, pp.

–115.

T. J. Ross, Fuzzy Logic with Engineering Applications, Wiley, 2010, pp. 88–92.

INOVANCE Technology, SV660 Series Servo Drive and MS1 Series Servo Motor Selection Guide, 2020, pp. 28–30.

P. C. Krause, O. Wasynczuk va S. D. Sudhoff, Analysis of Electric Machinery and Drive Systems, IEEE Press, 2013,

pp. 145–148.

J. Yen va R. Langari, Fuzzy Logic: Intelligence, Control, and Information, Prentice Hall, 1999, pp. 105–110.

K. M. Passino va S. Yurkovich, Fuzzy Control, Addison Wesley, 1998, pp. 42–45.

H. Ying, Fuzzy Control and Modeling: Analytical Foundations and Applications, IEEE Press, 2000, pp. 85–89.

MathWorks, Fuzzy Logic Toolbox User’s Guide, The MathWorks, Inc., 2023, pp. 35–40.

N. S. Nise, Control Systems Engineering (7-nashr), Wiley, 2015, pp. 210–215.

R. C. Dorf va R. H. Bishop, Modern Control Systems (13-nashr), Pearson, 2017, pp. 305–308.

R. Isermann, Mechatronic Systems: Fundamentals, Springer, 2005, pp. 400–405.

Загрузки

##submissions.published##

2026-05-01

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