A method to control speed and rotor position
with improved performance has been described in this
research. Various techniques are taken into
consideration with their detailed description. During
this process new methods are also introduced with their
pros and cons. The research includes a detailed study of
progressive back-Emf sensing strategies. The relevant
methods, which can support estimation, are the back
Emf zero-crossing method, integration of voltage, and
position estimation by flux and inductance. In this
thesis, Extended Kalman filter is utilized for position
and speed estimation. Firstly, DC voltage will be applied
as an input. Extended Kalman Filter is used to perform
state estimation while PID controller is employed to
regulate the system state following the reference signal.
The proposed solution leads to control of the ripple
generated in speed and torque of Brushless DC Motor
and improved performance.
A NOVEL METHOD FOR COGGING TORQUE REDUCTION IN PERMANENT MAGNET BRUSHLESS DC MOTOR USING T-SHAPED BIFURCATION IN STATOR TEETH