High performance predictive current control of bi-directional DC-DC converters for DC micro grid application

Dong Chen, Lie Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)

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.
LanguageEnglish
Title of host publication2011 International Conference on Electrical Machines and Systems (ICEMS)
PublisherIEEE
Number of pages6
ISBN (Print)978-1-4577-1044-5
DOIs
Publication statusPublished - Aug 2011
EventICEMS 2011 - Beijing, China
Duration: 22 Aug 2011 → …

Conference

ConferenceICEMS 2011
CountryChina
CityBeijing
Period22/08/11 → …

Fingerprint

Electric current control
DC-DC converters
Inductance
Sampling
Controllers
System stability

Keywords

  • power grids
  • dynamic performance analysis
  • predictive current control
  • power system stability

Cite this

Chen, Dong ; Xu, Lie. / High performance predictive current control of bi-directional DC-DC converters for DC micro grid application. 2011 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2011.
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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 = "power grids, dynamic performance analysis, predictive current control, power system stability",
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Chen, D & Xu, L 2011, High performance predictive current control of bi-directional DC-DC converters for DC micro grid application. in 2011 International Conference on Electrical Machines and Systems (ICEMS). IEEE, ICEMS 2011, Beijing, China, 22/08/11. https://doi.org/10.1109/ICEMS.2011.6073335

High performance predictive current control of bi-directional DC-DC converters for DC micro grid application. / Chen, Dong; Xu, Lie.

2011 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - 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.

AB - 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.

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