Study of RLS-Based Online Multiparameter Identification for Boost Converter

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.