Study Of Control Strategy Of VIENNA Rectifier Based On DRC-SVM And Predictive Current Control

The energy shortage and environmental pollution caused by traditional fuel vehicles are becoming more and more serious,which not only affects people’s health,but also restricts the sustainable development of social economy.In recent years,electric vehicles have attracted much attention due to their low noise and pollution-free features,and their application is of great practical significance.To improve the charging efficiency of electric vehicles,the three-level rectifier will become the mainstream choice of the charging pile network-side converter.In this thesis,the key technologies of VIENNA rectifier and the neutral potential balance strategy have been well studied.The accurate extraction of fundamental phase and amplitude from grid voltage is the premise of the VIENNA rectifier control strategy.Also,it is the basis of the VIENNA rectifier control strategy to obtain accurate ac input reference current form the voltage outer loop.In this thesis,the voltage frequency,amplitude and phase tracking are realized by the introduction of adaptive filter.Through the introduction of sliding mode control strategy,the dc voltage can quickly track the reference.For the generation of MOSFET control signals,first introduced the Double carrier comparison method(Double Ramp Comparsion Space Vector Modulation,DRC-SVM),and the Current Predictive Control,which is combined with VIENNA rectifier mathematical model,is proposed based on Current Predictive Control of the VIENNA rectifier Control strategy.In this thesis,two kinds of neutral potential balance strategies are proposed,and the neutral potential balance factor algorithm is proposed for the DRC-SVM.For the current predictive control strategy,a neutral point potential balance strategy based on quality function g is proposed.