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
Link To Document :
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