Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

Jae Yoo Yoo; Tae Sik Park; Seong Hwan Kim; Nam Jeung Kim; Ji Yoon Yoo

Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

Jae Yoo Yoo, Tae Sik Park, Seong Hwan Kim, Nam Jeung Kim, Ji Yoon Yoo

School of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

Since the average speed calculated with encoder pulses inevitably has time delay, it can degrade the control performance as well as the system stability, especially at low speed region. In this paper, the accurate speed estimation method using Kalman Filter Algorithm is presented to improve the performance of an Induction Motor with a low precision shaft encoder at low speed region.

Original language	English
Pages	MC2 4.1-4.3
Publication status	Published - 1997
Event	Proceedings of the 1997 IEEE International Electric Machines and Drives Conference, IEMDC - Milwaukee, WI, USA Duration: 1997 May 18 → 1997 May 21

Other

Other	Proceedings of the 1997 IEEE International Electric Machines and Drives Conference, IEMDC
City	Milwaukee, WI, USA
Period	97/5/18 → 97/5/21

ASJC Scopus subject areas

General Engineering

Cite this

@conference{33e9f91a512f4714bae2866b481746c7,

title = "Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region",

abstract = "Since the average speed calculated with encoder pulses inevitably has time delay, it can degrade the control performance as well as the system stability, especially at low speed region. In this paper, the accurate speed estimation method using Kalman Filter Algorithm is presented to improve the performance of an Induction Motor with a low precision shaft encoder at low speed region.",

author = "Yoo, {Jae Yoo} and Park, {Tae Sik} and Kim, {Seong Hwan} and Kim, {Nam Jeung} and Yoo, {Ji Yoon}",

year = "1997",

language = "English",

pages = "MC2 4.1--4.3",

note = "Proceedings of the 1997 IEEE International Electric Machines and Drives Conference, IEMDC ; Conference date: 18-05-1997 Through 21-05-1997",

}

TY - CONF

T1 - Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

AU - Yoo, Jae Yoo

AU - Park, Tae Sik

AU - Kim, Seong Hwan

AU - Kim, Nam Jeung

AU - Yoo, Ji Yoon

PY - 1997

Y1 - 1997

N2 - Since the average speed calculated with encoder pulses inevitably has time delay, it can degrade the control performance as well as the system stability, especially at low speed region. In this paper, the accurate speed estimation method using Kalman Filter Algorithm is presented to improve the performance of an Induction Motor with a low precision shaft encoder at low speed region.

AB - Since the average speed calculated with encoder pulses inevitably has time delay, it can degrade the control performance as well as the system stability, especially at low speed region. In this paper, the accurate speed estimation method using Kalman Filter Algorithm is presented to improve the performance of an Induction Motor with a low precision shaft encoder at low speed region.

UR - http://www.scopus.com/inward/record.url?scp=0030673351&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030673351

SP - MC2 4.1-4.3

T2 - Proceedings of the 1997 IEEE International Electric Machines and Drives Conference, IEMDC

Y2 - 18 May 1997 through 21 May 1997

ER -

Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

Abstract

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ASJC Scopus subject areas

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