DocumentCode :
601835
Title :
Iterative learning control with filter-capacitor current compensation for a three-phase four-wire inverter
Author :
Wu, T.-F. ; Lin, L.-C. ; Chang, Chih-Hung ; Chang, Y.-R. ; Li, Yong-Dong
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2013
fDate :
17-21 March 2013
Firstpage :
2288
Lastpage :
2294
Abstract :
This paper presents an iterative learning control with filter-capacitor current compensation for a three-phase four-wire inverter, which is adopted to uninterruptible power supply (UPS) applications. It can supply unbalanced, linear and rectified loads. With the proposed iterative learning control, the steady-state error can be reduced significantly cycle by cycle, and it is allowed to have wide inductance variation, reducing core size significantly. Additionally, the compensation for the filter-capacitor current is also considered in the control, which can help to shape output voltage waveform more accurately. In the design and implementation, the inverter inductances corresponding to various inductor currents are measured off-line and tabulated into a single-chip microcontroller for tuning loop gain every switching cycle, ensuring system stability. Experimental results measured from a 10 kVA inverter have verified the analysis and discussion.
Keywords :
electric current control; invertors; iterative methods; microcontrollers; power capacitors; power filters; uninterruptible power supplies; UPS application; apparent power 10 kVA; core size reduction; filter-capacitor current compensation; inductance variation; inductor currents; inverter inductances; iterative learning control; linear load; loop gain tuning; rectified load; single-chip microcontroller; steady-state error; switching cycle; system stability; three-phase four-wire inverter; unbalanced load; uninterruptible power supply application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2013 Twenty-Eighth Annual IEEE
Conference_Location :
Long Beach, CA
ISSN :
1048-2334
Print_ISBN :
978-1-4673-4354-1
Electronic_ISBN :
1048-2334
Type :
conf
DOI :
10.1109/APEC.2013.6520614
Filename :
6520614
Link To Document :
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