Abstract Finite control set ModelPredictive (FCS-MPC) with the principle of considering all voltage vectors to find optimal vector for multilevel inverter in a very small sampling cycle is hardly feasible because there no modulation part, implementation optimizing common-mode and switching number should be performed cost function. To solve above problem, this paper proposes an improved method m...

The neutral-point clamped (NPC) inverter is widely used in energy conversion, but the unbalance of voltage (NPV) will lead to imprecise control and decline power quality. Conventional finite set model predictive (FCS-MPC) uses an extra NPV weighing factor balance NPV. But weighting should tune frequently match best value. To cope with this problem, paper proposes a virtual vector-based strategy...

Abstract The weighting factors (WFs) of conventional predictive torque control (PTC) are difficult to tune, which limits its practical application. When the PTC is applied open-end winding permanent magnet synchronous motor (OEW-PMSM) with a common DC bus, there three different units variables that require prediction and control. Therefore, it necessary introduce two WFs construct cost function...

The generalized predictive control (GPC-MPC) algorithm adopts an optimal strategy, which requires online matrix inversion operation and is difficult to be applied real-time systems. Therefore, the permanent magnet synchronous motor (PMSM) drive experiments, using GPC-MPC with constraints, are primarily performed in a simulation environment. This paper proposes new its circuit design method comp...

This thesis deals with the development of model predictive control of ac electric drives with long prediction horizons and yet with computational cost of the algorithm comparable to conventional cascade control approaches. The basic idea is to approximate the cost to go function of dynamic programming taking into account long prediction horizon. For specific cases (linear model and quadratic co...

This paper presents an improved current control strategy for a three-phase grid-connected inverter under distorted grid conditions. In terms of performance, it is important for a grid-connected inverter to maintain the harmonic contents of inverter output currents below the specified limit even when the grid is subject to harmonic distortion. To address this problem, this paper proposes a modul...

This paper presents a single-objective model predictive control for bidirectional DC-DC flying capacitor (FC) converter, which integrates battery to the microgrid. The presence of multiple FCs facilitates converter interface low-voltage high-voltage DC bus at reduced voltage stress on its power switches. However, such requires controller that fulfils objectives, namely and FC regulations, flow....

The present sought to draw a comparison between Model Predictive Control performance and two other controllers named Simple PI and Selective PI in controlling large-scale natural gas transport networks. A nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in SIMULINK® environment of MATLAB®. Control schemes were designed to provide a s...

The grid-connected inverter is a key device in the renewable energy power generation system and large-scale storage system, which operational stability reliability are basis for efficient safe application of electrical energy. A real-time fault diagnosis method three-phase combining mixed logic dynamic (MLD) model finite control set predictive (FCS-MPC) proposed. This paper not only realizes op...