Model Predictive Control (MPC) is widely used in power electronics due to its ability to handle multi-variable constraints and optimize control actions in real time. However, its performance heavily relies on an accurate system model, making it sensitive to parameter variations and model mismatches. To address this limitation, this paper proposes a novel Model-Predictive Adaptive Control (MPAC) method for current control in three-phase, three-level voltage source inverters (VSI). The proposed MPAC approach integrates the Recursive Least Squares (RLS) algorithm for online system parameter estimation, eliminating the need for a predefined model and allowing real-time adaptation to changes in system dynamics. The proposed MPAC method is implemented and tested in a MATLAB/Simulink environment, where its performance is analyzed under various operating conditions. Simulation results demonstrate that MPAC achieves fast and precise current tracking, robust disturbance rejection, and significantly reduced harmonic distortion compared to conventional MPC methods. Furthermore, MPAC exhibits superior robustness against system parameter uncertainties, ensuring stable operation even in the presence of load variations and model inaccuracies. By improving adaptability and robustness, the proposed MPAC approach has significant potential for application in a wide range of power electronic systems, including motor drives, renewable energy conversion systems, and grid-connected converters. The findings of this study highlight the advantages of integrating adaptive estimation techniques into predictive control strategies, paving the way for more efficient and resilient power electronic control systems.
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Sohrabi Veske,N. , Nowrozi,M. and Sadeghi,M. (2022). Adaptive Model Predictive Control(AMPC) for Current Control of Three-Phase Three-Level Inverters. Transactions on Machine Intelligence, 5(4), 231-247. doi: 10.47176/TMI.2022.231
MLA
Sohrabi Veske,N. , , Nowrozi,M. , and Sadeghi,M. . "Adaptive Model Predictive Control(AMPC) for Current Control of Three-Phase Three-Level Inverters", Transactions on Machine Intelligence, 5, 4, 2022, 231-247. doi: 10.47176/TMI.2022.231
HARVARD
Sohrabi Veske N., Nowrozi M., Sadeghi M. (2022). 'Adaptive Model Predictive Control(AMPC) for Current Control of Three-Phase Three-Level Inverters', Transactions on Machine Intelligence, 5(4), pp. 231-247. doi: 10.47176/TMI.2022.231
CHICAGO
N. Sohrabi Veske, M. Nowrozi and M. Sadeghi, "Adaptive Model Predictive Control(AMPC) for Current Control of Three-Phase Three-Level Inverters," Transactions on Machine Intelligence, 5 4 (2022): 231-247, doi: 10.47176/TMI.2022.231
VANCOUVER
Sohrabi Veske N., Nowrozi M., Sadeghi M. Adaptive Model Predictive Control(AMPC) for Current Control of Three-Phase Three-Level Inverters. Trans. Mach. Intell., 2022; 5(4): 231-247. doi: 10.47176/TMI.2022.231
