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Improving Wheel Speed Sensing and Estiamtion

Magnusson, Mathias and Trobro, Christian (2003) In MSc Theses
Department of Automatic Control
Abstract
This master thesis project commissioned by Haldex Brake Products AB (in Landskrona, Sweden), and in association with the Department of Automatic Control, Lund Institute of Technology, deals with the problem of correct wheel speed measurements. Investigation into different types of sensors, Inductive-, Hall Effect- and Magneto-Resistive sensors have been carried out, which are sensors that may be used, when measuring the velocity of a wheel. It also looks into different types of methods that can be used to estimate a velocity; zero detection, estimation with few measurements, and tracking demodulation. Problems, such as noise, time demanding calculations and adapting the sensor signal so it may be used in a microcontroller, which could... (More)
This master thesis project commissioned by Haldex Brake Products AB (in Landskrona, Sweden), and in association with the Department of Automatic Control, Lund Institute of Technology, deals with the problem of correct wheel speed measurements. Investigation into different types of sensors, Inductive-, Hall Effect- and Magneto-Resistive sensors have been carried out, which are sensors that may be used, when measuring the velocity of a wheel. It also looks into different types of methods that can be used to estimate a velocity; zero detection, estimation with few measurements, and tracking demodulation. Problems, such as noise, time demanding calculations and adapting the sensor signal so it may be used in a microcontroller, which could arise when implementing these methods into a microcontroller, are also investigated. The conclusions are that to obtain wheel speed estimates at low speed sufficiently fast, the information in the sinusoidal signal from the sensors has to be used, and therefore, if one sensor is used, the Few Measurements method is the most appropriate, and if two sensors are used the Tracking Demodulation method. Finally scheduling is suggested, which means that the normal zero detection is used at high speed and the tracking demodulation method is used at low speed. (Less)
Please use this url to cite or link to this publication:
author
Magnusson, Mathias and Trobro, Christian
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
MSc Theses
report number
TFRT-5716
ISSN
0280-5316
language
English
id
8848126
date added to LUP
2016-03-19 17:31:18
date last changed
2016-03-19 17:31:18
@misc{8848126,
  abstract     = {{This master thesis project commissioned by Haldex Brake Products AB (in Landskrona, Sweden), and in association with the Department of Automatic Control, Lund Institute of Technology, deals with the problem of correct wheel speed measurements. Investigation into different types of sensors, Inductive-, Hall Effect- and Magneto-Resistive sensors have been carried out, which are sensors that may be used, when measuring the velocity of a wheel. It also looks into different types of methods that can be used to estimate a velocity; zero detection, estimation with few measurements, and tracking demodulation. Problems, such as noise, time demanding calculations and adapting the sensor signal so it may be used in a microcontroller, which could arise when implementing these methods into a microcontroller, are also investigated. The conclusions are that to obtain wheel speed estimates at low speed sufficiently fast, the information in the sinusoidal signal from the sensors has to be used, and therefore, if one sensor is used, the Few Measurements method is the most appropriate, and if two sensors are used the Tracking Demodulation method. Finally scheduling is suggested, which means that the normal zero detection is used at high speed and the tracking demodulation method is used at low speed.}},
  author       = {{Magnusson, Mathias and Trobro, Christian}},
  issn         = {{0280-5316}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{MSc Theses}},
  title        = {{Improving Wheel Speed Sensing and Estiamtion}},
  year         = {{2003}},
}