Predictive control has emerged as a promising control method in a variety of technological
fields. Model predictive control, as one of the subdivisions of this control method, has found …

The proliferation of solar power plants has begun to have an impact on utility grid operation,
stability, and security. As a result, several governments have developed additional …

With the increasing penetration of distributed energy resources into islanded microgrids, a
grid-forming inverter (GFI) has become the key element interfacing renewable energy …

A finite control set model predictive control (FCS-MPC) strategy consists of a prediction
model, a cost function and an optimization algorithm. Consequently, the performance of the …

The prior model-parameter-free predictive current control (MFPCC) applies a 1-D lookup
table (1-D LUT) to store current variation, where the index input is the number of the basic …

In pursuit of accurate and fast trajectory tracking of power converters, an explicit model is
commonly used in the finite control-set model predictive control (FCS-MPC) framework to …

The proportional–integral (PI) control is usually applied in synchronous reference frame to
regulate the output voltage of three-phase voltage source inverter (VSI). However, the PI …

Model-free predictive current control (MFPCC) has been widely used in voltage source
inverters (VSIs). The output current performance of look-up-table-based MFPCC is affected …

A model-free predictive zero-sequence current (ZSC) control is presented in this article for
the dual-inverter-fed open-end winding induction motor (OEWIM). The proposed method is …

Traditional use of predictive control techniques require the knowledge of the systems model
to control and the use of constant cycle-time. In the case of a switched reluctance motor its …