Analysis and robustness improvement of FCS-MPCC for IPMSM with model parameter mismatches are studied in this paper. The prediction error the current synchronous rotation coordinate is analyzed it divided into two categories according to whether related selected optimal voltage vector. A method by extracting information both kinds errors last sampling period proposed. simulation experimental re...

In recent years, voltage source multilevel converters are very popular in medium/high-voltage industrial applications, among which the NPC/H-Bridge converter is a popular solution to the medium/high-voltage drive systems. The conventional finite control set model predictive control (FCS-MPC) strategy is not practical for multilevel converters due to their substantial calculation requirements, e...

Electric vehicles (EVs) have the main advantage of using sustainable forms energy to operate and can be integrated into electrical power grids for better management. An essential part EV propulsion system is type motor used propel EV. Permanent magnet synchronous motors (PMSMs) found extensive use due various advantages such as high density, excellent torque-to-weight ratio smooth speed profile...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

This article proposes coordinated model predictive control (MPC) techniques for a DC-coupled hybrid microgrid system with solar photovoltaic and wind generated system. To achieve optimum power generation in the microgrid, finite-control-set MPC (FCS-MPC) controls both PV-wind using DC-DC converter controlled rectifier. The mathematical formulation of proposed is described, maximum point trackin...