Predictive Torque and Flux Control Without Weighting Factors

Finite control set model predictive control is an emerging alternative in the control of power converters and drives. The method allows flexible control schemes with fast dynamics. However, the standard formulation of this type of controllers is based on a minimization of a single cost function. Thi...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) 2013-02, Vol.60 (2), p.681-690
Hauptverfasser: Rojas, C. A., Rodriguez, J., Villarroel, F., Espinoza, J. R., Silva, C. A., Trincado, M.
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container_issue 2
container_start_page 681
container_title IEEE transactions on industrial electronics (1982)
container_volume 60
creator Rojas, C. A.
Rodriguez, J.
Villarroel, F.
Espinoza, J. R.
Silva, C. A.
Trincado, M.
description Finite control set model predictive control is an emerging alternative in the control of power converters and drives. The method allows flexible control schemes with fast dynamics. However, the standard formulation of this type of controllers is based on a minimization of a single cost function. This optimization method requires weighting factors that depend on the system parameters and operating point. The calculation of these factors is achieved through a nontrivial process. In this paper, a predictive torque and flux control of an induction machine drive fed by a three-phase two-level voltage source inverter is developed. The proposed strategy replaces the single cost function with a multiobjective optimization based on a ranking approach. This approach makes the tuning of weighting factors unnecessary for a correct operation. Simulation and experimental results on steady state and dynamic operation are presented to illustrate the good behavior of the drive.
doi_str_mv 10.1109/TIE.2012.2206344
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subjects Cost function
Optimization methods
predictive control
Rotors
Stator windings
Torque
variable-speed drives
Vectors
title Predictive Torque and Flux Control Without Weighting Factors
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