Authors :
Nabiya Ellahi
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/sv48k7pd
DOI :
https://doi.org/10.5281/zenodo.8134340
Abstract :
This research basically focuses on a technique
to estimate speed and rotor position with enhanced
performance. For this purpose numerous techniques
including Sensorless methods were taken into account
and new developments were also made. Some advanced
methods were also introduced for this purpose along
with their associated merits and demerits. This research
includes detailed study of all the methods which can be
used for the purpose of speed and rotor position
estimation including back-EMF sensing method which
was an obsolete technique. Some other methods which
can be used for this purpose are position estimation by
inductance and flux, back-EMF zero crossing and
integration of voltage. But all these methods were
obsolete and had disadvantages associated with them so
in this research, the main aim is to utilize latest
technique which can give accurate results and is also up
to date. For this purpose Extended Kalman Filter is
employed for the purpose of state estimation while PID
controller is utilized to synchronize system state
following the reference signal. The proposed solution will
control the harmonic generated in speed and position of
Brushless DC motor and ultimately performance of the
motor will get improved.
Keywords :
Sensorless, Extended Kalman Filter, PID controller, speed and rotor position estimation, back-EMF zero crossing.
This research basically focuses on a technique
to estimate speed and rotor position with enhanced
performance. For this purpose numerous techniques
including Sensorless methods were taken into account
and new developments were also made. Some advanced
methods were also introduced for this purpose along
with their associated merits and demerits. This research
includes detailed study of all the methods which can be
used for the purpose of speed and rotor position
estimation including back-EMF sensing method which
was an obsolete technique. Some other methods which
can be used for this purpose are position estimation by
inductance and flux, back-EMF zero crossing and
integration of voltage. But all these methods were
obsolete and had disadvantages associated with them so
in this research, the main aim is to utilize latest
technique which can give accurate results and is also up
to date. For this purpose Extended Kalman Filter is
employed for the purpose of state estimation while PID
controller is utilized to synchronize system state
following the reference signal. The proposed solution will
control the harmonic generated in speed and position of
Brushless DC motor and ultimately performance of the
motor will get improved.
Keywords :
Sensorless, Extended Kalman Filter, PID controller, speed and rotor position estimation, back-EMF zero crossing.
