Improved Finite Control Set Model Predictive Current Control for Five-Phase VSIs

被引:28
|
作者
Yu, Bin [1 ]
Song, Wensheng [1 ]
Li, Jianxin [1 ]
Li, Bozheng [1 ]
Saeed, Mahmoud S. R. [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
基金
中国国家自然科学基金;
关键词
Cost function; Switches; Predictive models; Steady-state; Harmonic analysis; Current control; Common-mode voltage (CMV); predictive control; voltage source inverter (VSI); INDIRECT MATRIX CONVERTER; REDUCTION PWM TECHNIQUE; SPACE-VECTOR PWM; MODULATION STRATEGY; INVERTER CONTROL; VOLTAGE; DRIVES;
D O I
10.1109/TPEL.2020.3034756
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Model predictive current control (MPCC) is widely studied and applied in five-phase VSIs, and virtual voltage vectors (V(3)s) are constructed to improve steady state performance and simplify computation complexity. However, V(3)s in five-phase VSIs were initially constructed using one large and one medium voltage vectors, and all existing works employed this method, which goes against the common-mode voltage (CMV) reduction. To address this problem, two improved MPCC (IMPCC) methods are proposed in this article. Firstly, the V(3)s are constructed in a new way using four adjacent large vectors, which enables the proposed IMPCC methods to reduce CMV and low-order harmonic currents inherently. Thus, there are no harmonic and CMV terms in the cost function. Secondly, the duty ratio optimization is introduced and dwell time of the optimal V-3 is estimated to reduce current ripples. Then, in order to achieve superior steady state performance, two switching patterns are designed, namely the asymmetrical and symmetrical ones. The asymmetrical pattern aims to reduce the switching frequency while the symmetrical one focuses on harmonics suppression. Finally, experimental comparisons between the proposed IMPCC methods and conventional methods are presented. Experimental results have verified that the proposed schemes can mitigate CMV, suppress current harmonics and reduce computation complexity, simultaneously.
引用
收藏
页码:7038 / 7048
页数:11
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