A Fast and Fixed Switching Frequency Model Predictive Control With Delay Compensation for Three-Phase Inverters
A Fast and Fixed Switching Frequency Model Predictive Control With Delay Compensation for Three-Phase Inverters
复制标题
三相逆变器带延迟补偿的快速固定开关频率模型预测控制
DOI:
10.1109/access.2017.2751619
复制
发表时间:
2017-09
期刊:
影响因子:
3.9
通讯作者:
DEPENG LI
中科院分区:
文献类型:
--
作者:
YONG YANG;HUIQING WEN;DEPENG LI
Finite control set-model predictive control (FCS-MPC) has been used in power converters due to its advantages, such as fast dynamics, multi-objective control, and easy implement. However, due to variable switching frequency, the harmonics of inverter output current spread in a wide range of frequency. Furthermore, a large amount of computation is required for the implementation of the traditional FCS-MPC method. Here, an improved FCS-MPC algorithm with fast computation and fixed switching frequency is proposed in this paper for two-level three-phase inverters. First, according to the principle of deadbeat control, the inverter voltage vector reference can be constructed. Then, the operation durations and sequences of different voltage vectors are determined according to the location of the inverter voltage vector reference and the cost functions of different voltage vectors. In this algorithm, the operation durations of different voltage vectors are arranged inversely proportional to their cost functions. Compared with the conventional fixed switching frequency FCS-MPC control, the number of sectors involved in the FCS-MPC calculation can be reduced from 6 to 1, which greatly improves the computation efficiency. Moreover, the delay due to digital implementation is effectively compensated in the proposed algorithm. Finally, experimental tests are carried out to verify the advantages of the proposed method in terms of both steady-state and dynamic performance.
登录
查看更多内容
影响因子:
4.4
作者:
M. Vijayagopal;P. Zanchetta;L. Empringham;L. de Lillo;L. Tarisciotti;P. Wheeler
通讯作者:
M. Vijayagopal;P. Zanchetta;L. Empringham;L. de Lillo;L. Tarisciotti;P. Wheeler
影响因子:
7.7
作者:
Yonglei Zhang;Xiaojie Wu;Xibo Yuan;Yingjie Wang;P. Dai
通讯作者:
Yonglei Zhang;Xiaojie Wu;Xibo Yuan;Yingjie Wang;P. Dai
影响因子:
7.7
作者:
J. Barros;J. F. Silva;Élvio G. A. Jesus
通讯作者:
J. Barros;J. F. Silva;Élvio G. A. Jesus
影响因子:
7.7
作者:
M. Rivera;José R. Rodríguez;Bin Wu;J. Espinoza;C. Rojas
通讯作者:
M. Rivera;José R. Rodríguez;Bin Wu;J. Espinoza;C. Rojas
影响因子:
6.7
作者:
Yongchang Zhang;Changqi Qu
通讯作者:
Changqi Qu