2134/24260
Chen Chen
Chen
Chen
Linkai Li
Linkai
Li
Qiao Zhang
Qiao
Zhang
Qiaoling Tong
Qiaoling
Tong
Kan Liu
Kan
Liu
Dian Lyu
Dian
Lyu
Run Min
Run
Min
Online inductor parameters identification by small signal injection for sensorless predictive current controlled boost converter
Loughborough University
2017
Inductors
Inductance
Observers
Resistance
Current control
Parameter estimation
Mechanical Engineering not elsewhere classified
2017-03-01 14:16:49
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Online_inductor_parameters_identification_by_small_signal_injection_for_sensorless_predictive_current_controlled_boost_converter/9564164
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.