MULTI-OBJECTIVE FAST RANKING MODEL PREDICTIVE CONTROL CONSIDERING PARAMETER MISMATCHES OF VIENNA RECTIFIER

Luo Wei; Zhang Yuchao; Jiang Jiayan; Liu Yunlong

doi:10.19912/j.0254-0096.tynxb.2023-1628

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 209-217. DOI: 10.19912/j.0254-0096.tynxb.2023-1628

MULTI-OBJECTIVE FAST RANKING MODEL PREDICTIVE CONTROL CONSIDERING PARAMETER MISMATCHES OF VIENNA RECTIFIER

Luo Wei¹, Zhang Yuchao¹, Jiang Jiayan², Liu Yunlong²

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Abstract

In order to solve the problems of weight factors tuning,and poor system robustness caused by mismatching of model parameters in Vienna rectifier using traditional FCS-MPC, a multi-objective fast sorting model predictive control strategy was proposed,Firstly,the sorting results of different weight items are summed,and the minimum sorting and corresponding switching state are applied to the next control period. A multi-objective fast rank model predictive control （MOFR-MPC） is proposed,which effectively eliminate the weight factors in traditional FCS-MPC. Secondly,the effect of the inductance mismatch on the controller is analyzed,and an inductance observer is constructed based on the predicted and actual current values,and a model predictive control （CPM-MPC） taking into account parameter mismatch is proposed to improve the grid-connected current quality when the model parameters are mismatched. Finally,the simulation and experimental results show that compared with traditional FCS-MPC,CPM-MPC not only does not need to design weight factors,but also has better steady-state and dynamic performance when the model parameters are mismatched.

Key words

multi-objective optimization / model predictive control / robustness / Vienna rectifier / parameter mismatch

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Luo Wei, Zhang Yuchao, Jiang Jiayan, Liu Yunlong. MULTI-OBJECTIVE FAST RANKING MODEL PREDICTIVE CONTROL CONSIDERING PARAMETER MISMATCHES OF VIENNA RECTIFIER[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 209-217 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1628

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