Parameter identification of induction motors. Part 1: The model-based concept

V. Pappano; S. E. Lyshevski; Bernard Friedland

Parameter identification of induction motors. Part 1: The model-based concept

V. Pappano, S. E. Lyshevski, Bernard Friedland

Electrical and Computer Engineering

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

4 Scopus citations

Abstract

The model-based identification concept is applied to the problem of parameter identification in induction motors. The convergence of the identification algorithm is investigated using extended and partial data acquisition. The developed approach to parameter identification requires full state measurement. A parameter subset identification methodology and on-line implementation issues are also introduced using the identification method developed in [1]. These very important side-aspects of the model-based identification concept have not been emphasized in the current literature, and are developed in the second part of the paper [2].

Original language	English (US)
Title of host publication	IEEE Conference on Control Applications - Proceedings
Publisher	IEEE
Pages	466-469
Number of pages	4
Volume	1
State	Published - Dec 1 1998
Event	Proceedings of the 1998 IEEE International Conference on Control Applocations. Part 1 (of 2) - Trieste, Italy Duration: Sep 1 1998 → Sep 4 1998

Other

Other	Proceedings of the 1998 IEEE International Conference on Control Applocations. Part 1 (of 2)
City	Trieste, Italy
Period	9/1/98 → 9/4/98

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

Cite this

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title = "Parameter identification of induction motors. Part 1: The model-based concept",

abstract = "The model-based identification concept is applied to the problem of parameter identification in induction motors. The convergence of the identification algorithm is investigated using extended and partial data acquisition. The developed approach to parameter identification requires full state measurement. A parameter subset identification methodology and on-line implementation issues are also introduced using the identification method developed in [1]. These very important side-aspects of the model-based identification concept have not been emphasized in the current literature, and are developed in the second part of the paper [2].",

author = "V. Pappano and Lyshevski, {S. E.} and Bernard Friedland",

year = "1998",

month = dec,

day = "1",

language = "English (US)",

volume = "1",

pages = "466--469",

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publisher = "IEEE",

note = "Proceedings of the 1998 IEEE International Conference on Control Applocations. Part 1 (of 2) ; Conference date: 01-09-1998 Through 04-09-1998",

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T1 - Parameter identification of induction motors. Part 1

T2 - Proceedings of the 1998 IEEE International Conference on Control Applocations. Part 1 (of 2)

AU - Pappano, V.

AU - Lyshevski, S. E.

AU - Friedland, Bernard

PY - 1998/12/1

Y1 - 1998/12/1

N2 - The model-based identification concept is applied to the problem of parameter identification in induction motors. The convergence of the identification algorithm is investigated using extended and partial data acquisition. The developed approach to parameter identification requires full state measurement. A parameter subset identification methodology and on-line implementation issues are also introduced using the identification method developed in [1]. These very important side-aspects of the model-based identification concept have not been emphasized in the current literature, and are developed in the second part of the paper [2].

AB - The model-based identification concept is applied to the problem of parameter identification in induction motors. The convergence of the identification algorithm is investigated using extended and partial data acquisition. The developed approach to parameter identification requires full state measurement. A parameter subset identification methodology and on-line implementation issues are also introduced using the identification method developed in [1]. These very important side-aspects of the model-based identification concept have not been emphasized in the current literature, and are developed in the second part of the paper [2].

UR - http://www.scopus.com/inward/record.url?scp=0032295594&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032295594&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0032295594

VL - 1

SP - 466

EP - 469

BT - IEEE Conference on Control Applications - Proceedings

PB - IEEE

Y2 - 1 September 1998 through 4 September 1998

ER -

Parameter identification of induction motors. Part 1: The model-based concept

Abstract

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All Science Journal Classification (ASJC) codes

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