Simplified model predictive control of a three-phase T-type NPC inverter

This study presents a simplified model predictive control (SMPC) strategy for three-phase T-type neutral-point-clamped (NPC) inverters to reduce the computational effort while achieving the current control, capacitor voltage equalisation and common-mode voltage (CMV) minimisation targets. The approa...

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Bibliographic Details
Published in:IET power electronics 2019-07, Vol.12 (8), p.1917-1930
Main Authors: Aswani Kumar, Eedara, Srinivasa Rao, Rayapudi, Chandra Sekhar, Koritala
Format: Article
Language:English
Subjects:
candidate control set
capacitor voltage equalisation
CCS
common‐mode voltage minimisation targets
current control
DC input voltage
electric current control
graphical approach
invertors
MPC algorithm
peak CMV
predictive control
Research Article
simplified model predictive control strategy
SMPC algorithm
SMPC‐I
SMPC‐II
three‐phase T‐type neutral‐point‐clamped inverters
three‐phase T‐type NPC inverter
voltage control
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Summary:This study presents a simplified model predictive control (SMPC) strategy for three-phase T-type neutral-point-clamped (NPC) inverters to reduce the computational effort while achieving the current control, capacitor voltage equalisation and common-mode voltage (CMV) minimisation targets. The approach involves three stages. In the first stage, the number of switching states is reduced from 27 to 19 for reducing the peak CMV. In the second stage, a graphical approach is proposed to identify candidate control set (CCS) based on the present switching state, which helps in reducing the number of computations further. The number of elements in CCS may be 7, 10, 13 or 19. A look-up table with present applied state and its corresponding CCS is formed based on this graphical approach for all the 19 switching states. The third stage involves modifications to the MPC algorithm. Two versions of SMPC schemes (SMPC-I and SMPC-II) are proposed. SMPC-I can restrict the CMV to one-sixth of DC input voltage. SMPC-II can achieve near zero CMV. The performance of the SMPC strategy is analysed with parameter uncertainty. Computational effort of SMPC schemes is compared with other MPC methods. The feasibility of SMPC algorithm is verified experimentally on T-type NPC inverter prototype.
ISSN:1755-4535
1755-4543
1755-4543
DOI:10.1049/iet-pel.2018.5673