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Download fileOnline inductor parameters identification by small signal injection for sensorless predictive current controlled boost converter
journal contribution
posted on 2017-03-01, 14:16 authored by Chen Chen, Linkai Li, Qiao Zhang, Qiaoling Tong, Kan Liu, Dian Lyu, Run MinIn 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 InformaticsPages
1554-1564Citation
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
© IEEEVersion
- 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.orgAcceptance date
2016-12-28Publication date
2017Notes
Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more informationISSN
1551-3203eISSN
1941-0050Publisher version
Language
- en