An extended kalman filter observer for the direct torque controlled interior permanent magnet synchronous motor DRIVE

Zhuang Xu; M. F. Rahman

An extended kalman filter observer for the direct torque controlled interior permanent magnet synchronous motor DRIVE

Zhuang Xu, M. F. Rahman

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

Abstract

This work focuses on an accurate Extended Kalman Filter (EKF) observer which estimates speed, position, stator flux linkage and torque for interior permanent magnet synchronous motors (IPMSM), over a wide speed range including the very low speed region. The EKF observer is basically a stochastic observer for the recursive optimal state estimation of a non-linear, time-variant, dynamical system like IPMSM in real time by using signals that are corrupted by noise. The EKF has robustness to parameter variations, model inaccuracy and measurement noises. Realistic simulations accounting for the inaccuracy of an actual digital signal processor (DSP) implementation are presented.

Original language	English
Title of host publication	IPEC 2003 - 6th International Power Engineering Conference
Pages	331-336
Number of pages	6
Publication status	Published - 2003
Externally published	Yes
Event	IPEC 2003 - 6th International Power Engineering Conference - , Singapore Duration: 27 Nov 2003 → 29 Nov 2003

Publication series

Name	IPEC 2003 - 6th International Power Engineering Conference

Conference

Conference	IPEC 2003 - 6th International Power Engineering Conference
Country/Territory	Singapore
Period	27/11/03 → 29/11/03

Keywords

Direct torque control
Extended Kalman Filter (EKF)
IPMSM

ASJC Scopus subject areas

Energy Engineering and Power Technology
General Engineering
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Cite this

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title = "An extended kalman filter observer for the direct torque controlled interior permanent magnet synchronous motor DRIVE",

abstract = "This work focuses on an accurate Extended Kalman Filter (EKF) observer which estimates speed, position, stator flux linkage and torque for interior permanent magnet synchronous motors (IPMSM), over a wide speed range including the very low speed region. The EKF observer is basically a stochastic observer for the recursive optimal state estimation of a non-linear, time-variant, dynamical system like IPMSM in real time by using signals that are corrupted by noise. The EKF has robustness to parameter variations, model inaccuracy and measurement noises. Realistic simulations accounting for the inaccuracy of an actual digital signal processor (DSP) implementation are presented.",

keywords = "Direct torque control, Extended Kalman Filter (EKF), IPMSM",

author = "Zhuang Xu and Rahman, {M. F.}",

year = "2003",

language = "English",

isbn = "9810487053",

series = "IPEC 2003 - 6th International Power Engineering Conference",

pages = "331--336",

booktitle = "IPEC 2003 - 6th International Power Engineering Conference",

note = "IPEC 2003 - 6th International Power Engineering Conference ; Conference date: 27-11-2003 Through 29-11-2003",

}

An extended kalman filter observer for the direct torque controlled interior permanent magnet synchronous motor DRIVE. / Xu, Zhuang; Rahman, M. F.
IPEC 2003 - 6th International Power Engineering Conference. 2003. p. 331-336 P2201 (IPEC 2003 - 6th International Power Engineering Conference).

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

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AU - Xu, Zhuang

AU - Rahman, M. F.

PY - 2003

Y1 - 2003

N2 - This work focuses on an accurate Extended Kalman Filter (EKF) observer which estimates speed, position, stator flux linkage and torque for interior permanent magnet synchronous motors (IPMSM), over a wide speed range including the very low speed region. The EKF observer is basically a stochastic observer for the recursive optimal state estimation of a non-linear, time-variant, dynamical system like IPMSM in real time by using signals that are corrupted by noise. The EKF has robustness to parameter variations, model inaccuracy and measurement noises. Realistic simulations accounting for the inaccuracy of an actual digital signal processor (DSP) implementation are presented.

AB - This work focuses on an accurate Extended Kalman Filter (EKF) observer which estimates speed, position, stator flux linkage and torque for interior permanent magnet synchronous motors (IPMSM), over a wide speed range including the very low speed region. The EKF observer is basically a stochastic observer for the recursive optimal state estimation of a non-linear, time-variant, dynamical system like IPMSM in real time by using signals that are corrupted by noise. The EKF has robustness to parameter variations, model inaccuracy and measurement noises. Realistic simulations accounting for the inaccuracy of an actual digital signal processor (DSP) implementation are presented.

KW - Direct torque control

KW - Extended Kalman Filter (EKF)

KW - IPMSM

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M3 - Conference contribution

AN - SCOPUS:12744263244

SN - 9810487053

SN - 9789810487058

T3 - IPEC 2003 - 6th International Power Engineering Conference

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EP - 336

BT - IPEC 2003 - 6th International Power Engineering Conference

T2 - IPEC 2003 - 6th International Power Engineering Conference

Y2 - 27 November 2003 through 29 November 2003

ER -

An extended kalman filter observer for the direct torque controlled interior permanent magnet synchronous motor DRIVE

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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