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Pareto-based modulated model predictive control strategy for power converter applications
(Elsevier Ltd, 2019)
Modulated model predictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using ...
Simulation of the model predictive control applied to a combined cycle plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We present the simulation of the application of the Model-based Predictive Control (MPC) of the drum level in a Combined Cycle Plant in order to minimize the time for reaching the highest capacity of plant, around 225 MW. ...
Finite-Set Model Predictive Current Control of Induction Motors by Direct Use of Total Disturbance
(Institute of Electrical and Electronics Engineers Inc., 2021)
Disturbance rejection strategies are very useful for the robustness improvement of the predictive control method. But they can only be used in the modulated-based predictive control methods such as continuous set model ...
Sequential Phase-Shifted Model Predictive Control for Modular Multilevel Converters
(2021)
Model predictive control has emerged as a promising approach to govern modular multilevel converters (MMCs), due to its flexibility to include multiple control objectives and simple design process. However, this control ...
Multirate multivariable generalized predictive control and its application to a slurry reactor for ethylene polymerization
(2006)
This study presents closed-loop results regarding the production of high-density polyethylene with Ziegler–Natta and Phillips catalysis. The multivariable control algorithm based on the generalized predictive control ...
Iterated non-linear model predictive control based on tubes and contractive constraints
(Elsevier Science Inc, 2016-05)
This paper presents a predictive control algorithm for non-linear systems based on successive linearizations of the non-linear dynamic around a given trajectory. A linear time varying model is obtained and the non-convex ...
Predictive Functional Control based on Fuzzy Model: Comparison with linear predictive functional control and PID control
(Springer, 2003-04)
The implementation of the fuzzy predictive functional control (FPFC) on the magnetic suspension system is presented in the paper. The magnetic suspension system was in our case the pilot plant for magnetic bearing and is ...