Dynamic Analysis And Control Strategy Of Boost Converter Based On Memristo

Due to the advantages of simple topology,high efficiency and easy implementation,DCDC converters are widely used in portable mobile devices,autonomous vehicle,clean energy,aerospace and other fields.For the DC-DC converter itself,ensuring the stability and reliability of system operation is its basic requirement.However,as the input voltage of the system fluctuates,the output load changes,or other parameters change,a series of complex nonlinear phenomena may occur,leading to overheating or even instability of the system operation.Therefore,the research in the nonlinear field of DC-DC converters has attracted scholars’ attention.However,current research on DC-DC converters mainly focuses on traditional loads such as resistors,inductors,or motors.As the fourth basic element besides resistance,inductance and capacitance.Due to its late discovery and most of its use being in the laboratory stage.Therefore,the nonlinear dynamic analysis of DC-DC converter based on memristor has great research value.This article applies memristor load to Boost converter,studies the influence of different parameters on the dynamic performance of Boost converter under memristor load,and provides corresponding control strategies.The research work of this article mainly includes the following aspects.Firstly,the nonlinear dynamic phenomena of Boost converters under resistive loads were studied.Firstly,under peak current control,it was found that the system exhibits typical nonlinear phenomena such as period doubling bifurcation,period window,and quasi period.Secondly,the time-domain diagram,phase diagram,and Poincar é cross-section diagram were drawn using MATLAB to analyze in detail the dynamic behavior of the system from stable operation to chaotic instability under different parameter changes.Then,based on the Filippov theory,the stability of the system under parameter changes was analyzed.Then,under voltage feedback control,it was found that when the inductance of the system changes,Neimarksacker bifurcation occurs,and its waveform exhibits smooth sinusoidal changes.Finally,an experimental circuit of the MR load Boost converter was built,and the nonlinear dynamic phenomena of the system were captured through the experiment,perfectly verifying the nonlinear behavior of the system.To lay the groundwork for subsequent research on MR loading.Secondly,a memristor simulator based on analog circuit is proposed,and its state equation is established.Through simulation,it is found that it can perfectly present the three basic characteristics of memristor.Then,the dynamic behavior of the Boost converter under MR parallel load from stable operation to chaotic instability was studied when the input voltage and reference current changed.Discovered that it has a bifurcation structure similar to that of carrying resistive loads,and also found nonlinear behaviors such as period doubling bifurcation and shear bifurcation;However,due to the existence of memristor,compared with the traditional resistive load,the boost converter with MR parallel load can significantly increase the stable operating range of the converter.Finally,stability analysis of the system is conducted using the Lyapunov exponent method based on multi-state converters.Thirdly,High gain and high efficiency DC-DC converters are key technologies for new energy generation such as photovoltaic power generation.based on the chaotic behavior of the system,two control strategies are proposed.The high gain dynamic compensation method perfectly overcomes the overcompensation problem under slope compensation and significantly increases the output voltage of the system,perfectly meeting the high gain requirements of the Boost converter,and has advantages such as fast dynamic response and small overshoot.The optimal parameter compensation method can accurately track the reference current signal value Iref,achieving lossless compensation and optimal control effect.