The improvement of model predictive control based on three-level three-phase inverter

Abstract

To improve the dynamic response of the inverter, the conventional proportional-integral controller and the modulation part are substituted by the finite-control step model predictive control (FCS-MPC) strategy. Compared to the two-level inverter, the drifted neutral point potential is an issue that cannot be neglected. To resolve this issue, the cost function is modified in this paper. Besides, as all of the voltage vectors are employed during optimal research progress in FCS-MPC, the switching frequency is variable, which burdens the filter. The complex calculation progress also burdens the microcontroller. According to the conventional modulation algorithm, the voltage vectors are divided into several groups and the optimal calculations are simplified with them. Based on that modification, the switching frequency is fixed. Finally, the simulation and the experimental results are demonstrated, which reveal the validity and merits of the proposed method.

Multi-objective predictive control for three-phase three-level neutral-point clamped inverter

“…This in turn improves the response of the system to internal and external dynamics on the cost of the computational burden. An FCS-MPC strategy to reduce the midpoint voltage fluctuations for the three-phase three-level inverter with fixed switching frequency is explained in [25] whereas a DSP-based-MPC strategy is implemented in [26]. Using the technique in [25], the dynamic performance is improved but the sampling frequency required is large.…”

“…An FCS-MPC strategy to reduce the midpoint voltage fluctuations for the three-phase three-level inverter with fixed switching frequency is explained in [25] whereas a DSP-based-MPC strategy is implemented in [26]. Using the technique in [25], the dynamic performance is improved but the sampling frequency required is large. The author in [27] also explains a DSP-based FCS-MPC strategy but for the control of a single phase split source inverter for the standalone PV system.…”

Optimal Model Predictive based on Super-Twisting Fractional Order Sliding Mode Control to Regulate DC-link Voltage of DC Microgrid

“…The MPC controller for the two-level converters has been optimally designed to provide the best switching mode out of eight feasible modes to attain the desired voltage vector. In this regard, deviations between references and predicted values of control variables are considered as objective functions to be minimized [23][24][25]. The conventional controllers such as PID are mainly used in the MPC strategy to provide active power reference as a main term of objective function.…”