Improved Deadbeat FC-MPC Based on the Discrete Space Vector Modulation Method with Efficient Computation for a Grid-Connected Three-Level Inverter System

Abstract

The utilization of three-level T-type (3L T-type) inverters in finite set-model predictive control (FS-MPC) of grid-connected systems yielded good performance in terms of current ripples and total harmonic distortions. To further improve the system's performance, discrete space vector modulation (DSVM) was utilized to synthesize a higher number of virtual voltage vectors. A deadbeat control (DBC) method was used to alleviate the computational burden and provide the optimum voltage vector selection. However, 3L inverters are known to suffer from voltage deviation, owing to the imbalance of the neutral-point voltage. We have proposed a simplified control strategy for balancing the neutral point in the FS-MPC with DSVM and DBC of grid-connected systems, not requiring a weighting factor or additional cost function calculation. The effectiveness of the proposed method was validated using simulation and experiment results. Our experimental results show that the execution time of the proposed algorithm was significantly reduced, while its current quality performance was not affected.

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

“…The optimization problem is solved on the basis of the specified cost function in order to determine the best sequence of the control signal. Different MPC concepts can be found in the literature [5,[9][10][11][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. The algorithm can be divided, taking into account the prediction horizon length.…”

“…State variables can be measured or in some cases estimated. Drawing on the present value of the state vector and control signals, the future process states are predicted using the mathematical model of the drive (23)- (27). The reference values are compared in an objective function with the computed future system states.…”

Predictive Torque Control With Simple Duty-Ratio Regulator of PMSM for Minimizing Torque and Flux Ripples

“…Recent studies have investigated model predictive control (MPC) [15], [16], which is mainly based on the prediction of future system behavior to calculate the optimal execution variables. MPC can be classified into continuous control set MPC (CCS-MPC) [17] and finite control set MPC (FCS-MPC) [18]. In a motor drive system, according to different control objectives, the FCS-MPC method can be classified into model predictive current control [19] and model predictive torque control (MPTC) [20].…”

Improved Finite Set-Predictive Torque Control of PMSM Fed by Indirect Matrix Converter with Discrete Space Vector Modulation

“…In recent years, discrete space-vector modulation (DSVM) has become a favorable approach for producing a large quantity of virtual VVs during a sampling period. The DSVM strategy was introduced to MPC for controlling power converters [22][23][24][25][26][27][28][29][30][31]. However, the system computation load increases largely due to the increased number of synthesized virtual vectors.…”