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A Novel Virtual Vector Modulation-based scheme of Model Power Predictive for VIENNA Rectifier

Dang, Chaoliang; Dang, Chaoliang; Dang, Chaoliang; Wang, Yihua; Jiang, Zehao; Liu, Ding; Tong, Xiangqian; Pat, Wheeler

A Novel Virtual Vector Modulation-based scheme of Model Power Predictive for VIENNA Rectifier Thumbnail


Authors

Chaoliang Dang

Chaoliang Dang

Chaoliang Dang

Yihua Wang

Zehao Jiang

Ding Liu

Xiangqian Tong



Abstract

When the finite control set model predictive(FCS-MPC) algorithm is applied to the three-level converter, there are problems such as large current harmonics, high requirements for the computing efficiency of the micro-controller, complex multi-objective optimization and limited output vector switching. In additional, the mismatch of inductance parameter may directly affect the observation accuracy of FCS-MPC. Furthermore, due to the limitation of finite set model prediction, it leads to the switching operation is not constant and the decrease of the grid-connected current quality. In this regard, an improved model predictive direct power control based on the combined virtual vector modulation (MPDPC-VM) is proposed by considering the influence of the filter inductance parameter mismatch. The finite control set and restricted vector switching of the Vienna rectifier are modeled to avoid excessive voltage jumps, and the predicted values of input power is obtained by the sliding-mode control (SMC) strategy. Then, a linear synthesis method of virtual vector modulation-based scheme is proposed, which increases the number of the available voltage vectors in a single switching period from 8 to 19. The grid-connected current ripple is improved by reducing the error between the expected voltage vector and the available voltage vector. Finally, the model reference adaptive system (MRAS) method is applied to improve the working reliability and reduce the influence of mismatching of inductance parameters. Extensive simulation and matching experimental results is given to demonstrate the validity of the proposed strategy under steady-state and transient responses conditions compared against the existing FCS-MPC.

Journal Article Type Article
Acceptance Date Dec 23, 2023
Online Publication Date Feb 24, 2024
Publication Date Jan 24, 2024
Deposit Date Jan 24, 2024
Publicly Available Date Jan 24, 2024
Journal Franklin Open
Electronic ISSN 2773-1863
Publisher Elsevier
Peer Reviewed Peer Reviewed
Keywords Vienna rectifier; virtual vector modulation; model predictive direct power control; inductance parameters mismatch; fixed frequency
Public URL https://nottingham-repository.worktribe.com/output/30114541
Publisher URL https://www.sciencedirect.com/journal/franklin-open

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