Model Predictive Current Control For Three-Phase Four-bridge Grid-Connected Inverters

DOI

10.2991/aeecs-16.2016.47How to use a DOI?

Keywords

three-phase four-bridge grid-connected inverters, model predictive control, multi-step, value function.

Abstract

In the traditional three-phase four-bridge inverter control strategies, such as SAPWM, 3-D SVM, the control system of them are quiet complex, difficult to achieve engineering application, and the stability is poor. Therefore, in this paper, based on the combination of the model predictive current control strategy and three-phase four-bridge grid inverter mathematical model, a kind of easy to be realized multi-step three-phase four-bridge grid inverter control method has been proposed. This control strategy has abandoned a large number of nonlinear control links and pulse width modulation (PWM) modulator in the traditional control method, and established the discrete model of the inverter. Based on the prediction model and all possible switch states during the next period, make an online evaluation of the inverter output current, and then choose the switch state which makes the minimum value function to be applied in the next sampling interval. At last, simulation has been carried out on the PSCAD/EMTDC platform, the results verify that the proposed strategy is correct and effective, it can make the output current follow the change of the reference quickly,and it is not affected by the AC sides. Compared with the traditional method,this method has good static and dynamic characteristic and robustness, and the control method is simple and easy to be implement digital.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenchao Xie
AU  - Yongqiang Zhu
AU  - Lihu Jia
AU  - Ruihua Xia
PY  - 2016/05
DA  - 2016/05
TI  - Model Predictive Current Control For Three-Phase Four-bridge Grid-Connected Inverters
BT  - Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SP  - 231
EP  - 238
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.47
DO  - 10.2991/aeecs-16.2016.47
ID  - Xie2016/05
ER  -