DocumentCode :
740429
Title :
Electric Machine Drive Design Improvements Through Control and Digital Signal Processing Techniques
Author :
Barzegaran, M.R. ; Youssef, Tarek A. ; Berzoy, Alberto ; Mohammed, O.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Volume :
30
Issue :
3
fYear :
2015
Firstpage :
1255
Lastpage :
1264
Abstract :
Developing the control algorithms of electric machine drives for less noise and harmonics is proposed here for design improvements. Modern control algorithms for electric machine drives are implemented, and their radiated magnetic fields are measured and imported into a digital signal processing unit. The measurement was implemented using magnetic field antennas which cover low frequencies. A digital signal processing unit was designed for online and real-time measurement and processing of the fields, and categorizing the harmonics. The controller compares the desired and measured signals and modifies the duty cycle of the switches to suppress the existing harmonics. The manual and automatic suppressions of some critical harmonics were implemented in two switching techniques using a defined procedure. Consequently, the modified control algorithm of the drive would radiate the electromagnetic stray field with less noise and harmonics. This leads to lower electromagnetic interference from the machine drive. Since there is no need to locate any sensor inside the machine or the converter, this can be considered as a nondestructive method for industry implementations, where it is impossible to access the parameters of components for online monitoring.
Keywords :
electric drives; electric machines; electromagnetic interference; machine control; automatic suppressions; digital signal processing techniques; electric machine drive design; electromagnetic interference; electromagnetic stray field; magnetic field antennas; manual suppressions; radiated magnetic fields; Frequency modulation; Harmonic analysis; Power harmonic filters; Pulse width modulation; Switches; Digital signal processing (DSP); electric machine drive; electromagnetic interference (EMI); electromagnetic signature; optimization; power converter;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2014.2375382
Filename :
7027844
Link To Document :
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