Sensorless drive of permanent magnet linear motors using modified Kalman filter

Y. R. Chen; Chow Norbert Cheung; J. Wu

Sensorless drive of permanent magnet linear motors using modified Kalman filter

Y. R. Chen, Chow Norbert Cheung, J. Wu

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

This paper presents a novel method to eliminate the need for a position sensor in permanent magnet linear motor (PMLM) drives, by using modified Kalman filter estimation algorithm. Due to end effects, the PMLM must operate at large speed dynamics, and its lowest speed can go down to zero velocity. This problem is overcome by using sinusoidal open loop current control for speeds below 0.1m/s. The Kalman filter is engaged when the speed goes above 0.1 m/s. In the investigation, the control and estimation algorithm, together with the PMLM are simulated in MATLAB and SIMULINK. After that, the drive system is implemented in hardware with a DSP controller board. Results show that the Kalman filter is capable of estimating system states accurately and reliability without mechanical sensors. Together with the low-speed open-loop control, the PMLM can be operated under trajectory tracking mode without any position sensors.

Original language	English
Pages (from-to)	2009-2013
Number of pages	5
Journal	PESC Record - IEEE Annual Power Electronics Specialists Conference
Volume	4
Publication status	Published - 1 Jan 2001
Externally published	Yes
Event	2001 IEEE 32nd Annual Power Electronics Specialists Conference - Vancouver, BC, Canada Duration: 17 Jun 2001 → 21 Jun 2001

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Sensorless drive of permanent magnet linear motors using modified Kalman filter",

abstract = "This paper presents a novel method to eliminate the need for a position sensor in permanent magnet linear motor (PMLM) drives, by using modified Kalman filter estimation algorithm. Due to end effects, the PMLM must operate at large speed dynamics, and its lowest speed can go down to zero velocity. This problem is overcome by using sinusoidal open loop current control for speeds below 0.1m/s. The Kalman filter is engaged when the speed goes above 0.1 m/s. In the investigation, the control and estimation algorithm, together with the PMLM are simulated in MATLAB and SIMULINK. After that, the drive system is implemented in hardware with a DSP controller board. Results show that the Kalman filter is capable of estimating system states accurately and reliability without mechanical sensors. Together with the low-speed open-loop control, the PMLM can be operated under trajectory tracking mode without any position sensors.",

author = "Chen, {Y. R.} and Cheung, {Chow Norbert} and J. Wu",

year = "2001",

month = jan,

day = "1",

language = "English",

volume = "4",

pages = "2009--2013",

journal = "PESC Record - IEEE Annual Power Electronics Specialists Conference",

issn = "0275-9306",

publisher = "IEEE",

note = "2001 IEEE 32nd Annual Power Electronics Specialists Conference ; Conference date: 17-06-2001 Through 21-06-2001",

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TY - JOUR

T1 - Sensorless drive of permanent magnet linear motors using modified Kalman filter

AU - Chen, Y. R.

AU - Cheung, Chow Norbert

AU - Wu, J.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - This paper presents a novel method to eliminate the need for a position sensor in permanent magnet linear motor (PMLM) drives, by using modified Kalman filter estimation algorithm. Due to end effects, the PMLM must operate at large speed dynamics, and its lowest speed can go down to zero velocity. This problem is overcome by using sinusoidal open loop current control for speeds below 0.1m/s. The Kalman filter is engaged when the speed goes above 0.1 m/s. In the investigation, the control and estimation algorithm, together with the PMLM are simulated in MATLAB and SIMULINK. After that, the drive system is implemented in hardware with a DSP controller board. Results show that the Kalman filter is capable of estimating system states accurately and reliability without mechanical sensors. Together with the low-speed open-loop control, the PMLM can be operated under trajectory tracking mode without any position sensors.

AB - This paper presents a novel method to eliminate the need for a position sensor in permanent magnet linear motor (PMLM) drives, by using modified Kalman filter estimation algorithm. Due to end effects, the PMLM must operate at large speed dynamics, and its lowest speed can go down to zero velocity. This problem is overcome by using sinusoidal open loop current control for speeds below 0.1m/s. The Kalman filter is engaged when the speed goes above 0.1 m/s. In the investigation, the control and estimation algorithm, together with the PMLM are simulated in MATLAB and SIMULINK. After that, the drive system is implemented in hardware with a DSP controller board. Results show that the Kalman filter is capable of estimating system states accurately and reliability without mechanical sensors. Together with the low-speed open-loop control, the PMLM can be operated under trajectory tracking mode without any position sensors.

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M3 - Conference article

SN - 0275-9306

VL - 4

SP - 2009

EP - 2013

JO - PESC Record - IEEE Annual Power Electronics Specialists Conference

JF - PESC Record - IEEE Annual Power Electronics Specialists Conference

T2 - 2001 IEEE 32nd Annual Power Electronics Specialists Conference

Y2 - 17 June 2001 through 21 June 2001

ER -

Sensorless drive of permanent magnet linear motors using modified Kalman filter

Abstract

ASJC Scopus subject areas

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