Publication detail

Enhanced Discrete Time Model for AC Induction Machine Model Predictive Control

VÁCLAVEK, P. BLAHA, P.

Original Title

Enhanced Discrete Time Model for AC Induction Machine Model Predictive Control

Type

conference paper

Language

English

Original Abstract

AC induction motors became very popular for motion control applications due to their simple and reliable construction. Control of drives based on AC induction motors is a quite complex task. In most high-performance applications classical vector control is currently used. While this control method is usually reliable it has some limitations especially in controllers tuning and constraints handling. New control methods like Model Predictive Control become feasible in connection with increasing computational power of controller hardware. The paper deals with enhanced discrete time AC induction machine model which can be used for efficient predictive control implementation. The other objective of the paper is discussion of prediction horizon length on the drive control performance.

Keywords

induction machine, predictive control, model

Authors

VÁCLAVEK, P.; BLAHA, P.

RIV year

2012

Released

18. 10. 2012

Publisher

IEEE

Location

Kanada

ISBN

978-1-4673-2420-5

Book

Proceedings of the IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Pages from

5025

Pages to

5030

Pages count

6

BibTex

@inproceedings{BUT94654,
  author="Pavel {Václavek} and Petr {Blaha}",
  title="Enhanced Discrete Time Model for AC Induction Machine Model Predictive Control",
  booktitle="Proceedings of the IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society",
  year="2012",
  pages="5025--5030",
  publisher="IEEE",
  address="Kanada",
  isbn="978-1-4673-2420-5"
}