Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima

master's thesis

• Title (english): Adaptive parameter identification for permanent magnet synchronous machine
• Author: Nikola Vuger
• Mentor: Damir Sumina (mentor)
• Committee member: Damir Sumina (predsjednik povjerenstva)
• Committee member: Igor Erceg (član povjerenstva)
• Committee member: Stjepan Stipetić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U uvodu rada dana je problematika poznavanja i identifikacije parametara sinkronih strojeva sa stalnim magnetima. Opisani su sinkroni strojevi sa stalnim magnetima te je dan matematički model stroja. Predstavljena je podjela algoritama za određivanje parametara strojeva te je dan pregled najčešće korištenih metoda identifikacije parametara. Za daljnju analizu odabrana je adaptivna metoda identifikacije parametara bazirana na sinkronizaciji stanja stroja sa stanjima kaotičnog sustava sličnih dinamičkih svojstava. Za navedenu metodu provedena je matematička analiza, dokazana je stabilnost sustava te izrađen simulacijski model za verifikaciju algoritma. Nakon simulacije provedena je analiza implementacije algoritma na mikrokontroler TMS320F28035. Analizom simulacijskih i eksperimentalnih rezultata utvrđene su prednosti i nedostaci obrađenog adaptivnog algoritma.

Abstract (english)

In the introduction of the work, the problem of knowledge and identification of parameters of synchronous machines with permanent magnets is given. Synchronous machines with permanent magnets are described and a mathematical model of the machine is given. The division of parameter identification algorithms have been presented and the overview of the most frequently used parameter identification methods is presented. For further analysis, the adaptive method of identifying parameters based on synchronization of machine states with the states of the chaotic system with similar dynamic properties is selected. For this method was performed mathematical analysis, demonstrated the stability of the system and developed a simulation model for the algorithm verification. After the simulation, an analysis of the implementation of the algorithm on TMS320F28035 microcontroller was performed. By analysing simulation and experimental results, the advantages and disadvantages of the processed adaptive algorithm were determined.

• Keywords: adaptivni algoritam; sinkroni stroj sa stalnim magnetima; identifikacija parametara; kaotični sustav; podešavanje regulatora; upravlajnje električnim strojevima; TMS320F28035
• Keywords (english): adaptive algorithm; synchronous permanent magnet machine; parameter identification; chaotic system; regulator tuning; control of electrical machines; TMS320F28035
• Language: croatian
• URN:NBN: urn:nbn:hr:168:033935
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-14 02:07:11