DocumentCode :
108298
Title :
Autotuning of Digital Deadbeat Current Controllers for Grid-Tie Inverters Using Wide Bandwidth Impedance Identification
Author :
Martin, Daniel ; Santi, Enrico
Author_Institution :
Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
Volume :
50
Issue :
1
fYear :
2014
fDate :
Jan.-Feb. 2014
Firstpage :
441
Lastpage :
451
Abstract :
By injecting a wide-bandwidth small-amplitude test sequence into the inverter´s pulsewidth-modulated control signal and by utilizing digital network analyzer techniques, an accurate estimation of the inverter´s output inductance can be obtained without external equipment and under realistic operating conditions, which is important given the nonlinear characteristics of commonly used powdered iron cores. This knowledge can be then leveraged to tune the inverter´s digital deadbeat controller for optimal performance, i.e., reaching the desired reference in n switching cycles, where n is the order of the system. A pseudorandom-binary-sequence-based injection sequence is chosen for its wideband spectral content. Experimental results demonstrate the improvement in the output-current total harmonic distortion obtainable with the proposed approach.
Keywords :
PWM invertors; digital control; electric current control; inductance; digital deadbeat controller; digital deadbeat current controller autotuning; digital network analyzer technique; grid-tie inverter; inverter output inductance; inverter pulsewidth modulated control signal; nonlinear characteristics; powdered iron cores; pseudorandom binary sequence based injection sequence; realistic operating condition; wide bandwidth impedance identification; wide bandwidth small amplitude test sequence; Current measurement; Impedance; Inductance; Inductors; Inverters; Switches; Voltage control; Adaptive control; current control; inverters; system identification;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2267708
Filename :
6541970
Link To Document :
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