An Improved Mutated Predictive Control for Two-Level Voltage Source Inverter With Reduced Switching Losses

Abstract

This paper presents an approach called the mutated model predictive control strategy to reduce switching losses and enhance the efficiency of voltage source inverter (VSI) operating with a three-phase configuration. The high number of semiconductor commutations in VSIs can lead to significant switching losses, which reduces efficiency and requires large heat sinks. Conventional model predictive control (MPC) applies switching states directly to the VSI without modulation; the selection of the optimal state is accomplished by evaluating criterion. However, since the two zero vectors (V0, V7) generate identical output voltage vectors(VVs), only a single zero voltage vector can be chosen. In contrast, the proposed method uses both zero vectors based on the operating condition. The approach involves using a switching strategy with pre-condition to select the suitable zero vector between (V0, V7) and apply it for the next sampling period. The efficacy of the proposed approach is validated by conducting simulations utilizing Matlab/Simulink and PLECS software, as well as an experimental test setup is utilized, which includes a three-phase VSI connected to a resistive-inductive load. The VSI is controlled using a dSPACE MicroLabBOX. The results clearly demonstrate the superiority of the proposed control strategy, specifically in terms of reducing switching losses and improving the efficiency of the VSI.INDEX TERMS Model predictive control (MPC), power losses, switching pattern, voltage source inverter (VSI).

FCS-MPC Based on Dimension Unification Cost Function

“…After obtaining the predicted value of the stator current at time k + 1, it is necessary to establish a model to predict the cost function of current control as (9):…”

“…Online optimization of the inverter switch state is performed based on predictive values and the predefined objective function, enabling direct output. Relative to MPTC, this approach minimizes current harmonics and demonstrates broad applicability across power converters and motor drives [8,9]. FCS-MPC stands as a distinct branch within the realm of MPC, distinguished by its ability to meticulously explore all switch states of the inverter and select the optimal switch Energies 2024, 17, 2479 2 of 15 state output based on a defined cost function, thereby offering rapid response dynamics and facilitating multi-objective optimization [10][11][12].…”