Optimal switching sequence model predictive control for three‐level NPC grid‐connected inverters

Model predictive control for stochastic switching max-plus-linear systems

A Hierarchical Model Predictive Voltage Control for NPC/H-Bridge Converters with Reduced Computational Burden

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...

Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

Pre-stabilized Energy-optimal Model Predictive Control

This paper presents Pre-stabilized Energy-optimal Model Predictive Control which is developed based on the existing Energy-Optimal Model Predictive Control (EOMPC) approach. EOMPC is a control method to realize energyoptimal point-to-point motions within a required motion time. In order to obtain a sufficiently large prediction time horizon with a limited number of decision variables resulting ...

Globally Optimal Nonlinear Model Predictive Control

This paper presents a globally optimal nonlinear Model Predictive Control (NMPC) algorithm. Utilizing local techniques on nonlinear nonconvex problems leaves one susceptible to suboptimal solutions. In complex problems, local solver reliability is difficult to predict and often highly dependent upon the choice of initial guess. For the purpose of NMPC, local solvers can cause the algorithm to f...