Prediction Errors Analysis and Correction on FCS-MPC for the Cascaded H-Bridge Multilevel Inverter

被引:13
|
作者
Wang, Yingjie [1 ]
Liu, Feilong [1 ]
Chen, Shuai [1 ]
Shen, Gang [2 ]
Wang, Qing-Guo [3 ]
机构
[1] China Univ Min & Technol, Sch Elect & Power Engn, Xuzhou 221008, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Sch Mech Engn, Xuzhou 221008, Jiangsu, Peoples R China
[3] Beijing Normal Univ Zhuhai, BNU HKBU United Int Coll, Inst Artificial Intelligence & Future Networks, Zhuhai 519085, Peoples R China
关键词
Capacitance; Predictive models; Multilevel inverters; Switches; Capacitors; Voltage control; Computational modeling; Cascade H-bridge multilevel inverter; error correction; finite control set model predictive control (FCS-MPC); predictive error; DIRECT POWER-CONTROL; PARAMETER-ESTIMATION; PWM RECTIFIER; CONVERTER;
D O I
10.1109/TIE.2021.3104594
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Predictive errors restrict high performance of finite control set model predictive control (FCS-MPC) in the cascaded H-bridge multilevel inverter.In order to solve this problem, the influence mechanisms of parameter mismatch, model discretization, and sampling error on voltage and current prediction errors are analyzed in this article. A hierarchical multifactorial error correction method is proposed. The known voltage prediction errors of the previous adjacent prediction periods are first fed back to calculate the voltage predictive error factors and self-correct the next voltage prediction errors. And then the current prediction errors are calibrated by the corrected voltage and the calculated current predictive error factor. This proposed method involves a simple structure and a good inhibitory ability on multifactorial prediction errors. Finally, experimental results in a three-phase five-level cascaded H-bridge multilevel inverter support the theoretical analysis and the proposed method.
引用
收藏
页码:8264 / 8273
页数:10
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