DocumentCode
2270700
Title
High performance predictive current control of bi-directional DC-DC converters for DC micro grid application
Author
Chen, Dong ; Xu, Lie
Author_Institution
Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´´s Univ. of Belfast, Belfast, UK
fYear
2011
fDate
20-23 Aug. 2011
Firstpage
1
Lastpage
6
Abstract
This paper investigates predictive average current control schemes of a bi-directional DC-DC converter. By properly arranging the sampling, duty cycle updating, and controlling points, three predictive control methods are derived for better steady-state and dynamic performance. The less the delay between the sampling point and controlling point has, the better the stead state and dynamic performance is. System stability with the three predictive current control methods are analyzed in the z-domain considering inductance variation and it turns out that the control methods are stable as long as the inductance value used in the controller is less than twice of the real inductance value of the converter. The effect of inaccurate model and parameters on static current error is investigated and an additional integral controller with small gain is proposed for eliminate such steady-state error. Experimental test results from a prototype converter rated at 360 W/ 10 A within a DC micro gird validate the excellent performance of the proposed schemes.
Keywords
DC-DC power convertors; distributed power generation; electric current control; error analysis; inductance; power grids; power system stability; predictive control; DC microgrid; bi-directional DC-DC converters; current 10 A; duty cycle; dynamic performance analysis; inductance; integral controller; power 360 W; predictive current control; sampling point; static current error; steady-state error; system stability; Current control; Current measurement; Inductance; Inductors; Steady-state; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-1044-5
Type
conf
DOI
10.1109/ICEMS.2011.6073335
Filename
6073335
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