Abstract
A high computational burden is required in conventional model predictive control, as all of the voltage vectors of a power inverter are used to predict the future behavior of the system. Apart from that, the common mode voltage (CMV) of a three-phase four-leg inverter utilizes up to half of the DC-link voltage due to the use of all of the available voltage vectors. Thus, this paper proposes a near state vector selection-based model predictive control (NSV-MPC) scheme to mitigate the CMV and reduce computational burden. In the proposed technique, only six active voltage vectors are used in the predictive model, and the vectors are selected based on the position of the future reference vector. In every sampling period, the position of the reference current is used to detect the voltage vectors surrounding the reference voltage vector. Besides the six active vectors, one of the zero vectors is also used. The proposed technique is compared with the conventional control scheme in terms of execution time, CMV variation, and load current ripple in both simulation and an experimental setup. The LabVIEW Field programmable gate array rapid prototyping controller is used to validate the proposed control scheme experimentally, and demonstrate that the CMV can be bounded within one-fourth of the DC-link voltage.
Highlights
Photovoltaic (PV) energy has become an attractive renewable energy source due to its user-friendly operation, straightforward structure, easy installation, and close setup to the user
The proposed near state vector selection-based model predictive control (NSV-MPC) has been validated in simulation by using Matlab/Simulink
The experimental test was carried out using a field programmable gate array (FPGA)-based controller, and it can be used to implement the parallel processing technique of the model predictive controller to enhance the system
Summary
Photovoltaic (PV) energy has become an attractive renewable energy source due to its user-friendly operation, straightforward structure, easy installation, and close setup to the user. A control scheme with six switching states for the three-phase four-leg inverter is proposed to ensure the zero CMV in [15] This switching scheme cannot be practically implemented for the unbalanced condition due to the utilization of the restricted voltage vector in a conventional method. Since the FCS-MPC algorithm predicts the control variables based on the system model, it puts a high computational burden on the controller [20,26,27] This FCS-MPC-based control technique can be used to restrict the CMV within ± v6dc by utilizing six non-zero voltage vectors in the three-phase three-leg inverter [28]. A near state vector selection-based MPC (NSV-MPC) is proposed in order to reduce the CMV with reduced computational burden for a three-phase four-leg inverter.
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