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Online inductor parameters identification by small signal injection for sensorless predictive current controlled boost converter

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journal contribution
posted on 01.03.2017, 14:16 by Chen Chen, Linkai Li, Qiao Zhang, Qiaoling Tong, Kan Liu, Dian Lyu, Run Min
In a sensorless predictive current controlled boost converter, parameterizing the inductor plays an important role in controller performance. In this paper, a solution for inductor parameters online identification is investigated. A small signal injection strategy is proposed to create a transient state, and convergence problem of inductance identification in steady state can be avoided. Then a charge balance current observer (CBCO), derived from capacitor current charging balance concept, is adopted to estimate the inductor current for inductance identification. Since inductance is not used in CBCO, current estimation is not affected by inductance identification error. Because of rank-deficient problem, instead of identifying inductor parasitic resistance solely, the inductor equivalent parasitic resistance is derived. By applying it into the conventional current observer for current control loop, the accuracy of current estimation can still be guaranteed since more parasitic effects are included. To improve the accuracy of inductance identification, a load identification method is investigated. Furthermore, the effect of the equivalent series resistance (ESR) of output capacitor on the proposed algorithm is analyzed. Finally, its effectiveness is verified by experimental results.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Industrial Informatics

Pages

1554-1564

Citation

CHEN, C. ... et al., 2017. Online inductor parameters identification by small signal injection for sensorless predictive current controlled boost converter. IEEE Transactions on Industrial Informatics, 13(4), pp.1554-1564.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org

Acceptance date

28/12/2016

Publication date

2017

Notes

Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information

ISSN

1551-3203

eISSN

1941-0050

Language

en

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