In order to eliminate the effect of inductance and capacitance variations on control performance of boost converter
this paper proposed a RLS based online multiparameter identification algorithm. Firstly
the online multiparameter identification system for boost converter was introduced. By changing the reference voltage with small amplitude
an essential transient for online identification of inductance and capacitance can be obtained. Then the characteristics of inductor voltage and capacitor current in a switching cycle were analyzed and a precise model for inductance and capacitance identification was deduced. Further
by applying RLS
an optimal method for inductance and capacitance estimation was derived. Finally
the validity of the proposed algorithm was demonstrated by simulation. The simulation results show that the algorithm can estimate the inductance and capacitance precisely and rapidly
and has good robustness.
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references
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