Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters

Sanaz Sabzevari, Rasool Heydari, Maryam Mohiti, Mehdi Savaghebi and Jose Rodriguez
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Sanaz Sabzevari: Department of Electrical and Computer Engineering, Semnan University, Semnan 35131-19111, Iran
Rasool Heydari: Energy Technology Department, Aalborg University of Denmark, 9220 Aalborg, Denmark
Maryam Mohiti: Department of Electrical Engineering, University of Yazd, Yazd 89158-18411, Iran
Mehdi Savaghebi: Department of Mechanical and Electrical Engineering, University of Southern Denmark, 5230 Odense, Denmark
Jose Rodriguez: Department of Engineering Science, Universidad Andres Bello, 7500971 Santiago, Chile

Energies, 2021, vol. 14, issue 8, 1-12

Abstract: An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC). In this paper, a model-free predictive control strategy is presented to mitigate all ramifications of the model’s uncertainties and parameter mismatch between the plant and controller for the control of power electronic converters in applications such as microgrids. A specific recurrent neural network structure called state-space neural network (ssNN) is proposed as a model-free current predictive control for a three-phase power converter. In this approach, NN weights are updated through particle swarm optimization (PSO) for faster convergence. After the training process, the proposed ssNN-PSO combined with the predictive controller using a performance criterion overcomes parameter variations in the physical system. A comparison has been carried out between the conventional MPC and the proposed model-free predictive control in different scenarios. The simulation results of the proposed control scheme exhibit more robustness compared to the conventional finite-control-set MPC.

Keywords: model-free predictive control; model predictive control (MPC); power converter; state-space neural network with particle swarm optimization (ssNN-PSO); identification; robust performance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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