基于矢量误差建模的Vienna整流器自适应过零畸变抑制策略OA

To address the issue of input current zero-crossing distortion in Vienna rectifiers,this paper proposes an adaptive zero-crossing distortion suppression strategy based on vector error modeling.First,the phenomenon of input current zero-crossing distortion in Vienna rectifiers is analyzed.It is revealed that sector misjudgment caused by ripple and sampling errors near the current zero-crossing,together with vector errors generated by the use of shared switching states under sector misjudgment,are the fundamental causes of the distortion.Based on this analysis,a quantitative mathematical model of the sector misjudgment conditions and vector errors is developed.On this basis,an adaptive zero-crossing distortion suppression strategy is designed.By constructing a multi-objective model predictive error function incorporating vector errors,the use of shared switching states is optimized,and vector errors are dynamically compensated,thereby suppressing input current zero-crossing distortion.Finally,the proposed method is validated through simulations and physical platform experiments.Experimental results demonstrate that the proposed method can effectively suppress input current zero-crossing distortion and significantly improve input current quality,providing a new approach for zero-crossing distortion suppression in Vienna rectifiers.