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Pareto-based modulated model pbkp_redictive control strategy for power converter applications

Abstract:

Modulated model pbkp_redictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using regular model pbkp_redictive control (MPC) algorithms. However, the design of the M 2 PC algorithm and its performance depend on, among other factors, the tuning of weighting factors, which are required by the cost functions typically used in pbkp_redictive control algorithms. In this paper, a novel Pareto-based multi-objective M 2 PC (MO-M 2 PC) strategy is proposed. In this case, the use of weighting factors is not required, and the optimization problem is solved using a multi-objective approach. The aim of the proposed MO-M 2 PC strategy is to consider practical rules, such as satisfaction of soft constraints, to calculate the control actions. The proposed Pareto-based MO-M 2 PC strategy can be applied to any power converter topology. In this paper, experimental validation of the proposed methodology is pursued using a 3-phase 3 kW power converter operating as a shunt active power filter (SAPF). The proposed control is implemented in a control platform based on the dSPACE ds1103 system. The simulation and experimental results demonstrate the advantages and flexibility achieved by the proposed Pareto-based MO-M 2 PC.