2022
DOI: 10.1109/access.2022.3187996
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An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter

Abstract: Model predictive control (MPC) has been used widely in power electronics due to its simple concept, fast dynamic response, and good reference tracking. However, it suffers from parametric uncertainties, since it directly relies on the mathematical model of the system to predict the optimal switching states to be used at the next sampling time. As a result, uncertain parameters lead to an ill-designed MPC. Thus, this paper offers a model-free control strategy on the basis of artificial neural networks (ANNs), f… Show more

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Cited by 41 publications
(14 citation statements)
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“…However, the control strategies are carried out in an external target microcontroller kit (in our research, the C2000TM microcontroller-LaunchPadXL TMS320F28379D kit). The HIL emulator necessitates collaboration between the Host-PC and the target LAUNCHXL-F28379D, accomplished through a virtual serial COM port [40,41]. In this case, the Host-PC sends measured signals (or input characteristics) such as V pv , e abc , and i abc to the LAUNCHXL-F28379D kit.…”
Section: Hil Validation Resultsmentioning
confidence: 99%
“…However, the control strategies are carried out in an external target microcontroller kit (in our research, the C2000TM microcontroller-LaunchPadXL TMS320F28379D kit). The HIL emulator necessitates collaboration between the Host-PC and the target LAUNCHXL-F28379D, accomplished through a virtual serial COM port [40,41]. In this case, the Host-PC sends measured signals (or input characteristics) such as V pv , e abc , and i abc to the LAUNCHXL-F28379D kit.…”
Section: Hil Validation Resultsmentioning
confidence: 99%
“…As part of the neural network design of the single-channel boost converter, for this research, a mathematical model by the MATLAB/Simulink program was used to create a feed forward neural network control block. This control block uses coaching by entering the input conditions of dc voltage, DC voltage output and output current, defined as duty cycle value [19][20][21]. However, for better understanding, it is shown as a model used in the coaching of neural networks as shown in Figure 7.…”
Section: Figure 5 the Relationship Between Machine Learning And The N...mentioning
confidence: 99%
“…All nodes in the neural network can choose their own weights and connection strength to determine whether the connection parameters are correct. Different connection methods will have multiple obvious end patterns corresponding to specific points, that is, the same node receives the same result when it receives the same signal and inputs it as a training set to the output process, which is called "neural network" [17][18]. Figure 2…”
Section: Neural Network Technologymentioning
confidence: 99%