DocumentCode :
2318388
Title :
Improved Predictive Current Control for Grid Connected Inverter Applications with Parameter Estimation
Author :
Baek, Yohan ; Lee, Kui-Jun ; Hyun, Dong-seok
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fYear :
2009
fDate :
4-8 Oct. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes predictive current control strategy based on predictive direct power control strategy for grid connected three phase voltage source inverter applications. The Proposed strategy uses a symmetrical 4+4 voltage vectors´ sequence which selects two effective and two zero voltage vectors and determines concatenated voltage vectors´ sequence. The time derivatives of currents for each of selected voltage vectors are used in order to calculate application times that minimize objective function. In this way, constant switching frequency and high quality currents are obtained. The drawback of predictive current control is the mathematical based approach, which is sensitive to parameters changes. A real time parameter estimator is added in order to estimate the filter inductance and equivalent series resistance. The estimation is achieved using the least square estimation method, and as a result, the robustness of the control system for filter parameter changes is improved.
Keywords :
electric current control; invertors; power control; power filters; predictive control; concatenated voltage vectors sequence; equivalent series resistance; filter inductance; filter parameter changes; grid connected three phase voltage source inverter applications; improved predictive current control; least square estimation method; parameter estimation; predictive direct power control strategy; Concatenated codes; Current control; Filters; Inductance; Inverters; Least squares approximation; Parameter estimation; Power control; Switching frequency; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 2009. IAS 2009. IEEE
Conference_Location :
Houston, TX
ISSN :
0197-2618
Print_ISBN :
978-1-4244-3475-6
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/IAS.2009.5324845
Filename :
5324845
Link To Document :
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