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 ...
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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.
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