AN’ANAVIY VA SUN'IY INTELLEKTGA ASOSLANGAN BOSHQARUV TIZIMLARINING QIYOSIY TAHLILI (MS1H1 SERVO MOTORI MISOLIDA)
DOI:
https://doi.org/10.5281/zenodo.20346653Ключевые слова:
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 avtomatikasiАннотация
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
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
Опубликован
Выпуск
Раздел
Лицензия
Copyright (c) 2026 MUHANDISLIK VA IQTISODIYOT

Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.