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Mostrando ítems 1-10 de 29
Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods
(2015)
Model- based predictive direct control methods are advanced control strategies in the field of power electronics. To control an induction machine (IM), the predictive torque control (PTC) method evaluates the electromagnetic ...
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 ...
Computationally Efficient Predictive Current Control With Finite Set Extension Using Derivative Projection for IM Drives
(2023-04-01)
This article proposes a computationally efficient predictive current control (PCC) combined with an extension of a finite set using current derivative projection, to solve the challenges experienced by finite control set ...
Sampling error-based model-free predictive current control of open-end winding induction motor with simplified vector selection
(2023-03)
A sampling error-based finite-set predictive current control (FS-PCC) is proposed in this article for the open-end winding induction motor (OEWIM) drive. The proposed scheme controls the zero-sequence current (ZSC) alongside ...
Adaptive Dead-Time Compensation for Grid-Connected PWM Inverters of Single-Stage PV Systems
(Institute of Electrical and Electronics Engineers, 2013-06)
This study presents a new software-based plug-in dead-time compensator for grid-connected pulsewidth modulated voltage-source inverters of single-stage photovoltaic (PV) systems using predictive current controllers (PCCs) ...
Robustness Improvement of Predictive Current Control Using Prediction Error Correction for Permanent-Magnet Synchronous Machines
(2016)
The predictive control method deals with the prediction of the motor behavior based on a mathematical model of the motor. This model is dependent on the motor parameters. However, these parameters may not match with their ...
Imunossensor baseado em grafeno-polissulfona para detecção da artrite reumatoide: antipeptídeo citrulinado
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Engenharia Biomedica, 2016)