Experimental Characterisation of quad rotor controller based on Kalman Filter

This paper presents experimental techniques to extract the calibration parameters needed for the control algorithm (electrical and aerodynamic constants) and Kalman filter (R and Q covariance matrices for noise measurement and process). The validation of the extracted parameters on the developed Matlab/Simulink models for the quadrotor are investigated before the final implementation of the real navigation algorithm system on quadcopter.