Estimacija kuta rotora motora korištenjem Hallovog senzora

master's thesis

• Title (english): Rotor Angle Estimation Using Hall Sensors
• Author: Domagoj Ciković
• Mentor: Damir Seršić (mentor)
• Committee member: Damir Seršić (predsjednik povjerenstva)
• Committee member: Davor Petrinović (član povjerenstva)
• Committee member: Mladen Vučić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Vektorsko upravljanje elektromotorima temelji se na podešavanju vektora struja kako bi se postigao puni moment. Kako bi se podesila ispravna vrijednost vektora struje, potrebna je informacija o trenutnom kutu rotora. Pozicija rotora kod sinkronih motora usklađena je sa smjerom magnetskog polja. Magnetsko polje, odnosno pozicija rotora, mjeri se pomoću Hallovih senzora koji omogućuju detekciju pozicije u 6 dijelova punog kruga. Za optimalnu estimaciju kuta rotora koristi se Kalman filtar. Algoritam Kalman filtra proveden je kroz simulacije u MATLAB-u te realiziran na ugradbenom računalnu u programskom jeziku C. Kako bi se minimizirale sistemske pogreške provodi se kalibracija sustava.

Abstract (english)

Field-oriented control of electric motors is based on adjusting the current vector to achieve full torque. In order to adjust the correct value of the current vector, information about angle of the rotor is required. The position of the rotor in synchronous motors is aligned with the direction of the magnetic field. The magnetic field (position of the rotor), is measured by using Hall sensors that allow detection of positions in 6 parts of full circle. A Kalman filter is used to optimally estimate the rotor angle. The Kalman filter algorithm is proven through simulations in MATLAB and implemented on the embedded computer system in programming language C. In order to minimize system errors, system calibration is performed.

• Keywords: Hallov senzor; vektorsko upravljanje; sinkroni motor; rotor; kut; Kalmanov filtar; kalibracija
• Keywords (english): Hall sensor; field-orientated control; synchronous motor; rotor; angle; Kalman filter; calibration
• Language: croatian
• URN:NBN: urn:nbn:hr:168:087141
• 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: 2023-01-13 09:51:11