Extended Kalman Filter for estimation of rotor Potion and Speed of sensor less Brushless DC Motor

Abstract

Fuzzy logic controller have been used to control speed based on the error generated from the reference and estimated speed. The measured data and disturbance serve as the extended kalman filter input. In a simulation, as I have looked from the result how the noise covariance matrices could be controlled. BLDC motor requires sensor to detect the speed and position. The main objective of this thesis is design and simulation of extended kalman filter based sensor less brushless direct current. In this thesis, a three-phase BLDC motor speed is accu rately estimated without the usage of sensors by using an extended kalman filter