Influence of Inductance Parameters on Intelligent Control of Buck Converter Voltagecontrolled stepdown converter is the core unit of the control system, which is composed of capacitors, inductors and other components, showing nonlinear characteristics. With the rapid development of artificial intelligence, the requirement for the performance of the converter becomes higher and higher. The bifurcation characteristics and chaotic behavior of the system are verified by building Simulink model. The output characteristics of the system with inductance as a parameter are revealed. The change of the intersection point between the reference voltage waveform and the output voltage waveform is analyzed in the time domain. The evolution process of the system from steady state to periodic state to chaotic state is observed in the phase diagram, which verifies the rationality and feasibility of the research method in this paper, and provides theoretical basis and reference value for the research methods and control strategies of other types of switching converters.

Modeling of Saturable Inductors for Application in DCDC Converters This paper deals with a method by which the experimental characterization of a power inductor is obtained from onboard measurements that exploits a lowcost DCDC buck converter to supply the inductor under test with quasirectangular voltage waveforms of different amplitudes and bias conditions. The measurements of the voltage  v_mathrmL(t)  across the inductor and the current  i_mathrmL(t)  are performed up to inductions approaching the magnetic saturation. After suitable integration of  v_mathrmL(mathrmt) , the magnetic flux is obtained as a function of  i_mathrmL  and the accuracy of the described identification process is checked by comparing the measured waveform of the current to numerical simulation of the same quantity obtained assuming as input the DC current component and the measured voltage waveform.