Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/2082
Title: Tuning the Fuzzy Controller for Speed Control of the DC Motor
Authors: MELNIC, Vladimir 
COJUHARI, Irina 
Keywords: fuzzy controller;PID controller;system performance;automatic control system;maximum stability degree method with iterations
Issue Date: 2022
Source: Melnic, Vladimir & Cojuhari, Irina. (2022). Tuning the Fuzzy Controller for Speed Control of the DC Motor. 240-243. 10.52326/ic-ecco.2022/CE.05.
Project: 20.80009.5007.09. Elaborarea şi lansarea seriei de nanosateliţi cu misiuni de cercetare de pe Staţia Spaţială Internaţională, monitorizarea, postoperarea lor şi promovarea tehnologiilor spaţiale / Development and launch of the series of nanosatellites with research missions on the International Space Station, monitoring, postoperating and promoting space technologies 
Conference: Electronics, Communications and Computing 
Abstract: 
In this paper, it is developed the fuzzy controller for speed control of the DC motor. The obtained results of tuning the controller were compared with maximum stability degree method with iterations and genetic algorithm. To verify the efficiency of the developed fuzzy controller the computer simulation was done. The algorithm of tuning the fuzzy controller was designed according to the error and the rate of change of the error signal, so that performance of the closed-loop step response to be satisfied.
URI: http://repository.utm.md/handle/5014/21865
http://cris.utm.md/handle/5014/2082
DOI: 10.52326/ic-ecco.2022/CE.05
Appears in Collections:Proceedings Papers

Files in This Item:
File Description SizeFormat
Int-conf-ECCO-2022-p240-243.pdf734.29 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.