An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor

S. Alireza Davari; Davood Arab Khaburi; Ralph Kennel

doi:10.1109/TPEL.2011.2162343

An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor

S. Alireza Davari, Davood Arab Khaburi, Ralph Kennel

Research output: Contribution to journal › Article › peer-review

413 Citations (Scopus)

Abstract

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.

Original language	English
Article number	5955125
Pages (from-to)	1540-1551
Number of pages	12
Journal	IEEE Transactions on Power Electronics
Volume	27
Issue number	3
DOIs	https://doi.org/10.1109/TPEL.2011.2162343
Publication status	Published - 2012
Externally published	Yes

Keywords

Cost function
induction motor
predictive torque control (PTC)
two-level VSI

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TPEL.2011.2162343

Cite this

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title = "An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor",

abstract = "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.",

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AU - Khaburi, Davood Arab

AU - Kennel, Ralph

PY - 2012

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N2 - 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.

AB - 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.

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KW - induction motor

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KW - two-level VSI

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An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor

Abstract

Keywords

ASJC Scopus subject areas

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