Performance Evaluation in State Estimation by Discrete Full Order UI Observer and Discrete Kalman Filter for L-1011 Aircraft

unknown input full order observer using projection operator method is used to estimate five states of the fifth order lateral axis model of L-1011 system in discrete domain in noiseless and noisy environment in this paper. After that Kalman filter has been designed to estimate the state of L-1011 system when noise is considered. Finally error between the actual and estimated states of the system by UI observer and Kalman filter is compared. It has been shown that Kalman filter is good estimator than UI full order observer in noisy environment. The simulations have been done using MATLAB/ Simulink Toolbox& the results of the simulations have been displayed in this paper.