An Improved FCS-MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor

In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is c...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2012-03, Vol.27 (3), p.1540-1551
Main Authors: Davari, S. A., Khaburi, D. A., Kennel, R.
Format: Article
Language:English
Subjects:
A.c. Machines
Applied sciences
Cost function
Electric power
Electrical engineering. Electrical power engineering
Electrical machines
Electronic equipment and fabrication. Passive components, printed wiring boards, connectics
Electronics
Exact sciences and technology
Experiments
induction motor
Inverters
Motors
Optimization
Power electronics, power supplies
predictive torque control (PTC)
Regulation and control
Simulation
Stators
Torque
Torque control
two-level VSI
Voltage control
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Summary:In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is calculated via an optimization method. The optimization is based on dividing the control interval into two parts: active time for applying the active voltage vectors and zero time for applying the zero voltage. With this technique, the torque ripple is calculated as a function of weighting factor and it is optimized. The method is validated by simulations and experiments, using two-level inverter, at two speed regions (nominal speed and low speed). The results are compared with conventional FCS-MPC.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2011.2162343