The common mode voltage (CMV) causes many issues and negatively affects the performance of power system in a hybrid electric vehicle HEV. Therefore, this paper suggests simple method for mitigating CMV two level three phase source inverter VSI with RL load. Hence, technique chosen purpose is based on model predictive control. Otherwise, when compared to standard method, can successfully mitigat...

Multilevel Converters are known to have many advantages for electricity network applications. In particular Cascaded H-Bridge Converters are attractive because of their inherent modularity and scalability. Predictive control for power converters is advantageous as a result of its applicability to discrete system and fast response. In this paper a novel control technique, named Modulated Model P...

Three-phase voltage source inverters (VSIs) with output $ LC$ filter are preferred topologies to provide and frequency support for islanded ac microgrids. This article proposes a finite-set quasi-sliding model predictive control (FS-QSM...

Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this paper, we propose a novel cloud-assisted model predictive (MPC) framework in which systematically fuse cloud MPC that leverages the power of to compute optimal based on high-fidelity nonlinear (thus, more accurate) but is subject communication delays with local r...

Finite-control-set model predictive control (FCS-MPC) of multiphase ( n -phase, is assumed to be an odd number for simplicity) drives challenging because the large actual/virtual voltage vectors and need current in -1)/2 sub-spaces (or planes; multi-plane control). Any sub-optimal design (poor ...

This paper presents an improved continuous control set model predictive (CCS-MPC) scheme using a fuzzy logic approach (FLA) for three-phase constant voltage frequency (CVCF) inverters with output LC filter. The proposed method can enhance the quality by optimal law (OPCL). Additionally, corrects input commands through FLA-based online gain tuning aiming to satisfy hardware constraint. Thus, CCS...

In this article, we introduce a novel framework for the design of multi set-point nonlinear explicit controllers process systems engineering problems where set-points are treated as uncertain parameters simultaneously with initial state dynamical system at each sampling instance. To end, an algorithm special class multi-parametric programming on right-hand side constraints and cost coefficients...

The growing interest in saving building energy has increasingly motivated studies on model predictive control (MPC), where system operation proceeds according to a planned strategy. Data-driven models that perform learning using past data of buildings are favorable for MPC applications owing their fast computation speed. However, it is difficult apply with insufficient data, as the prediction a...