Estimation of Speed and Rotor Position of Brushless Dc Motor by Application of Extended Kalman Filter

Nabiya Ellahi1

1

Publication Date: 2023/07/11

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.

DOI: https://doi.org/10.5281/zenodo.8134340

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN2356.pdf

REFERENCES

No References Available