An Improved Model Predictive Control to Enhance Voltage Performance for LC Filtered Three-Level Inverters With Voltage Feedback Only

This article proposes a double vector model predictive control (MPC) method for the LC filtered three-level T-type inverter (3LT ^{2} I) to gain superior voltage performance, which is current sensorless and computationally efficient. In the proposed scheme, inverter voltage increment is induced in t...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2023-09, Vol.19 (9), p.1-12
Main Authors: Liu, Tong, Chen, Alian, Wang, Wei, Liu, Xi, Ren, Qicai, Zhang, Guanguan, Zhang, Chenghui
Format: Article
Language:English
Subjects:
Capacitors
Cost function
Inverters
Model predictive control (MPC)
multiple vector
Observers
Predictive models
search tree
strong tracking Kalman filter (STKF)
Switches
three-level T-type inverter (3LT <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ^{2}</tex-math> </inline-formula> I)
Voltage control
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Summary:This article proposes a double vector model predictive control (MPC) method for the LC filtered three-level T-type inverter (3LT ^{2} I) to gain superior voltage performance, which is current sensorless and computationally efficient. In the proposed scheme, inverter voltage increment is induced in the multi-objectives cost function, and the desired voltage is derived based on the simplified discrete model, which optimizes the output voltage control performance. The prepositive prediction calculation is shifted out from the evaluation circle, and the computation is lessened simultaneously. Then, aiming to estimate the capacitor current of the simplified discrete model with voltage feedback only, the strong-tracking Kalman filter (STKF)-based observer is designed, which gets rid of the dependence on current sensors and lowers hardware cost. Furthermore, to improve the control accuracy of tracking the desired voltage, a two-layer decision algorithm based on the search tree is developed to find the optimal double vector easily, which obtains a low-complexity selection process using the univariate cost function. Finally, the simulation and experimental results are given to demonstrate the effectiveness of the theoretical analyses and the proposed method.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2022.3229121