Parameters Identification of Buck Converter Based on Dynamic Characteristics

摘要

The knowledge of DC-DC converter parameters is essential to both of the health condition estimation and controller tuning for better performance of DC-DC converters. This paper proposes a parameter identification method for DC-DC power converters by taking advantage of its dynamic characteristics, which is non-invasive, computation efficient and without additional hardware compared to existing methods. The application of the proposed method for a buck converter is presented here. Firstly, the modelling method of buck converter with an accurate solving method is described. Then, the particle swarm optimization algorithm (PSO)is introduced for parameter identification. Finally, experiments are performed to verify the feasibility and effectiveness of the proposed method.