A comparison of discrete-time models for model predictive control of induction motor drives

Christian A. Rojas; Juan I. Yuz; Matias Aguirre; Jose Rodriguez

doi:10.1109/ICIT.2015.7125159

A comparison of discrete-time models for model predictive control of induction motor drives

Christian A. Rojas, Juan I. Yuz, Matias Aguirre, Jose Rodriguez

Engineering School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.

Original language	English
Title of host publication	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	568-573
Number of pages	6
Edition	June
ISBN (Electronic)	9781479978007
DOIs	https://doi.org/10.1109/ICIT.2015.7125159
Publication status	Published - 16 Jun 2015
Event	2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: 17 Mar 2015 → 19 Mar 2015

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Number	June
Volume	2015-June

Other

Other	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/Territory	Spain
City	Seville
Period	17/03/15 → 19/03/15

Keywords

Discrete-time systems
Induction motor drives
Predictive control
Taylor series
Time-varying systems

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT.2015.7125159

Cite this

Rojas, C. A., Yuz, J. I., Aguirre, M., & Rodriguez, J. (2015). A comparison of discrete-time models for model predictive control of induction motor drives. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015 (June ed., pp. 568-573). Article 7125159 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2015-June, No. June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2015.7125159

Rojas, Christian A. ; Yuz, Juan I. ; Aguirre, Matias et al. / A comparison of discrete-time models for model predictive control of induction motor drives. 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 568-573 (Proceedings of the IEEE International Conference on Industrial Technology; June).

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title = "A comparison of discrete-time models for model predictive control of induction motor drives",

abstract = "System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.",

keywords = "Discrete-time systems, Induction motor drives, Predictive control, Taylor series, Time-varying systems",

author = "Rojas, \{Christian A.\} and Yuz, \{Juan I.\} and Matias Aguirre and Jose Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Industrial Technology, ICIT 2015 ; Conference date: 17-03-2015 Through 19-03-2015",

year = "2015",

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language = "English",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

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Rojas, CA, Yuz, JI, Aguirre, M & Rodriguez, J 2015, A comparison of discrete-time models for model predictive control of induction motor drives. in 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June edn, 7125159, Proceedings of the IEEE International Conference on Industrial Technology, no. June, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 568-573, 2015 IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain, 17/03/15. https://doi.org/10.1109/ICIT.2015.7125159

A comparison of discrete-time models for model predictive control of induction motor drives. / Rojas, Christian A.; Yuz, Juan I.; Aguirre, Matias et al.
2015 IEEE International Conference on Industrial Technology, ICIT 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 568-573 7125159 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2015-June, No. June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.

AB - System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.

KW - Discrete-time systems

KW - Induction motor drives

KW - Predictive control

KW - Taylor series

KW - Time-varying systems

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M3 - Conference contribution

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Rojas CA, Yuz JI, Aguirre M, Rodriguez J. A comparison of discrete-time models for model predictive control of induction motor drives. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 568-573. 7125159. (Proceedings of the IEEE International Conference on Industrial Technology; June). doi: 10.1109/ICIT.2015.7125159

A comparison of discrete-time models for model predictive control of induction motor drives

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