Abstract
In self-sensing machines, the rotor displacement or angle
is recovered from the wave form of the winding current
simplifying thus the structure and lowering the price of
the machine. This paper introduces a new technique to
enable sensorless operation of a magnetic bearing or
other self-sensing Pulse-Width Modulation (PWM)-fed
electric machines. The approach is based on the
measurement of the rate of change of the winding current
at the PWM frequency. The current slope along with the
current and voltage measurements is used for estimating
the winding inductance, which is a dynamic function of
the rotor displacement and angle. The rotor state can
then be deduced by matching the estimated inductance to
the inductance model. The concept is tested in a setup in
which the rotor of a Switched Reluctance Machine is
levitated against the gravity using feedback from a
displacement sensor. The actual displacement is then
compared to the estimate given by the self-sensing
algorithm. The estimate is found to be accurate, but
sensitive to modeling error.
Original language | English |
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Title of host publication | 7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014) |
Publisher | Institution of Engineering and Technology IET |
Number of pages | 6 |
ISBN (Electronic) | 978-1-84919-815-8 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A4 Article in a conference publication |
Event | 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014 - Manchester, United Kingdom Duration: 8 Apr 2014 → 10 Apr 2014 |
Conference
Conference | 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014 |
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Abbreviated title | PEMD 2014 |
Country/Territory | United Kingdom |
City | Manchester |
Period | 8/04/14 → 10/04/14 |
Keywords
- voltage measurement
- machine control
- reluctance machines
- rotors
- magnetic bearings
- electric current measurement