Abstract:

Non-ideal factors such as parasitic parameters will affect the accuracy of the output impedance model of DC converter.To solve the problems of location and numerical acquisition of non-ideal factors, the numerical analysis method of converter output impedance is proposed. Firstly,an ideal model including the dominant factors affecting the converter output impedance is established.The internal relationship between the characteristics of each frequency band of the impedance and the set of non-ideal factors is analyzed.Then,the particle swarm optimization algorithm is used to quantify and extract the dominant factors.The comprehensive influence law of each dominant factor on the output impedance is summarized.Finally,taking Buck converter as an example,the rationality of the extraction results is verified by ripple characteristics.Simulation and experimental results show that the proposed method is reasonable.

Key words: Buck converter, particle swarm optimization algorithm, non-ideal factors, output impedance