A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor

Salih B. Ozturk; Omer C. Kivanc; Berkin Atila; Saeed Ur Rehman; Bilal Akin; Hamid A. Toliyat

doi:10.1109/IEMDC.2017.8002156

A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor

Salih B. Ozturk, Omer C. Kivanc, Berkin Atila, Saeed Ur Rehman, Bilal Akin, Hamid A. Toliyat

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

9 Citations (Scopus)

Abstract

This paper investigates an ordinary least squares based indirect field oriented control (IFOC) of induction motor at very low speed range (1-5 rpm) using a low-count encoder. At very low speeds the speed estimation provided by common techniques for low-count encoder applications such as averaging the last two speed samples and/or considering the previous speed value until the next position update can generate erroneous speed results which can cause instability in the overall control system. By proposing ordinary least squares (OLS) method with low-resolution position sensor based speed estimation for IFOC of IM drives more realistic speed can be obtained by fitting the predefined sets of speed data in a linear or quadratic manner. Experimental tests prove that the proposed scheme which is constituted of OLS (linear) speed estimation algorithm increases stability and improves low and oscillating speed performance of IFOC of IM drive with low-count encoders down to four pulses per revolution.

Original language	English
Title of host publication	2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509042814
DOIs	https://doi.org/10.1109/IEMDC.2017.8002156
Publication status	Published - 3 Aug 2017
Externally published	Yes
Event	2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 - Miami, United States Duration: 21 May 2017 → 24 May 2017

Publication series

Name	2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

Conference

Conference	2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Country/Territory	United States
City	Miami
Period	21/05/17 → 24/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) funded project (115E173). This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) funded project (115E173).

Funders	Funder number
TUBITAK	115E173
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
TUBITAK	115E173
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Keywords

IFOC
induction motor
least mean squares (LMS)
linear least squares (LLS)
low speed measurement
low-count encoder
low-resolution encoder
ordinary least squares (OLS) estimation
quadratic least squares (QLS)

Access to Document

10.1109/IEMDC.2017.8002156

Cite this

Ozturk, S. B., Kivanc, O. C., Atila, B., Rehman, S. U., Akin, B., & Toliyat, H. A. (2017). A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor. In 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 Article 8002156 (2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMDC.2017.8002156

Ozturk, Salih B. ; Kivanc, Omer C. ; Atila, Berkin et al. / A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor. 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017).

@inproceedings{e81b098a83db44c4ae4178125718abc3,

title = "A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor",

abstract = "This paper investigates an ordinary least squares based indirect field oriented control (IFOC) of induction motor at very low speed range (1-5 rpm) using a low-count encoder. At very low speeds the speed estimation provided by common techniques for low-count encoder applications such as averaging the last two speed samples and/or considering the previous speed value until the next position update can generate erroneous speed results which can cause instability in the overall control system. By proposing ordinary least squares (OLS) method with low-resolution position sensor based speed estimation for IFOC of IM drives more realistic speed can be obtained by fitting the predefined sets of speed data in a linear or quadratic manner. Experimental tests prove that the proposed scheme which is constituted of OLS (linear) speed estimation algorithm increases stability and improves low and oscillating speed performance of IFOC of IM drive with low-count encoders down to four pulses per revolution.",

keywords = "IFOC, induction motor, least mean squares (LMS), linear least squares (LLS), low speed measurement, low-count encoder, low-resolution encoder, ordinary least squares (OLS) estimation, quadratic least squares (QLS)",

author = "Ozturk, {Salih B.} and Kivanc, {Omer C.} and Berkin Atila and Rehman, {Saeed Ur} and Bilal Akin and Toliyat, {Hamid A.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 ; Conference date: 21-05-2017 Through 24-05-2017",

year = "2017",

month = aug,

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doi = "10.1109/IEMDC.2017.8002156",

language = "English",

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Ozturk, SB, Kivanc, OC, Atila, B, Rehman, SU, Akin, B & Toliyat, HA 2017, A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor. in 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017., 8002156, 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017, Miami, United States, 21/05/17. https://doi.org/10.1109/IEMDC.2017.8002156

A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor. / Ozturk, Salih B.; Kivanc, Omer C.; Atila, Berkin et al.
2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8002156 (2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017).

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

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T1 - A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor

AU - Ozturk, Salih B.

AU - Kivanc, Omer C.

AU - Atila, Berkin

AU - Rehman, Saeed Ur

AU - Akin, Bilal

AU - Toliyat, Hamid A.

PY - 2017/8/3

Y1 - 2017/8/3

N2 - This paper investigates an ordinary least squares based indirect field oriented control (IFOC) of induction motor at very low speed range (1-5 rpm) using a low-count encoder. At very low speeds the speed estimation provided by common techniques for low-count encoder applications such as averaging the last two speed samples and/or considering the previous speed value until the next position update can generate erroneous speed results which can cause instability in the overall control system. By proposing ordinary least squares (OLS) method with low-resolution position sensor based speed estimation for IFOC of IM drives more realistic speed can be obtained by fitting the predefined sets of speed data in a linear or quadratic manner. Experimental tests prove that the proposed scheme which is constituted of OLS (linear) speed estimation algorithm increases stability and improves low and oscillating speed performance of IFOC of IM drive with low-count encoders down to four pulses per revolution.

AB - This paper investigates an ordinary least squares based indirect field oriented control (IFOC) of induction motor at very low speed range (1-5 rpm) using a low-count encoder. At very low speeds the speed estimation provided by common techniques for low-count encoder applications such as averaging the last two speed samples and/or considering the previous speed value until the next position update can generate erroneous speed results which can cause instability in the overall control system. By proposing ordinary least squares (OLS) method with low-resolution position sensor based speed estimation for IFOC of IM drives more realistic speed can be obtained by fitting the predefined sets of speed data in a linear or quadratic manner. Experimental tests prove that the proposed scheme which is constituted of OLS (linear) speed estimation algorithm increases stability and improves low and oscillating speed performance of IFOC of IM drive with low-count encoders down to four pulses per revolution.

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KW - induction motor

KW - least mean squares (LMS)

KW - linear least squares (LLS)

KW - low speed measurement

KW - low-count encoder

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KW - ordinary least squares (OLS) estimation

KW - quadratic least squares (QLS)

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M3 - Conference contribution

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T3 - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

BT - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

Y2 - 21 May 2017 through 24 May 2017

ER -

Ozturk SB, Kivanc OC, Atila B, Rehman SU, Akin B, Toliyat HA. A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor. In 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8002156. (2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017). doi: 10.1109/IEMDC.2017.8002156

A simple least squares approach for low speed performance analysis of indirect FOC induction motor drive using low-resolution position sensor

Abstract

Publication series

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Bibliographical note

Funding

Keywords

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