...Ahmet Ermeydan Purpose This study aims to compare the performances of extended and unscented Kalman filters in the presence of noise and errors from the inertial measurement unit (IMU). Design/methodology/approach The parameters of real gyroscopes and accelerometers were mathematically modeled...

... is input into the Kalman filter. Otherwise, the attitude and velocity information are simultaneously input into the Kalman filter. Inertial navigation Kalman filter X-ray pulsar navigation Integrated navigation Celestial navigation Doppler navigation Integrated navigation is an effective...

... a Kalman filter to obtain without noise, a full order observer for sensor fault detection, a GOS (generalized observer scheme) for sensor fault isolation and a fuzzy controller to reconfigure of the healthy sensor. This combination is simulated using the state space model of a lateral flight control system...

...Aziz Kaba; Emre Kiyak Purpose The purpose of this paper is to introduce an artificial bee colony-based Kalman filter algorithm along with an extended objective function to ensure the optimality of the estimator of the quadrotor in the presence of unknown measurement noise statistics. Design...

... extended Kalman filter (MDEKF) is studied. The MDEKF algorithm can effectively remove the time-correlated portion of the measurement error and thus can evidently improve the accuracy of magnetometer-based autonomous orbit determination during geomagnetic storms. Real flight data from Swarm A are used...

.../approach This is obtained by using the Kalman filter theory for the evaluation of the reference angle-of-attack and angle-of-sideslip. Findings The designed Kalman filter has been implemented in Matlab/Simulink and validated using flight data coming from two very different aircraft, the Piaggio...

...Song Hua; Huiyin Huang; Fangfang Yin; Chunling Wei Purpose This paper aims to propose a constant-gain Kalman Filter algorithm based on the projection method and constant dimension projection, which ensures that the dimension of the observation matrix obtained is maintained when...

... Extended Kalman Filter for estimation of the spacecraft’s position and velocity on indirect linear x-y-z measurements. Findings The complex content of the measurement matrix in the conventional method causes periodic singularities in simulation results. In addition, the convergence of the filter using...

... is considered. The identification of the internal MMG parameters is carried out at the first stage. At the second stage, an MMG model is created, based on the results of identification of parameters at the first stage. This model is used as a basis for synthesis of a Kalman filter for estimating the angular...

...@tsinghua.edu.cn © Emerald Group Publishing Limited 2013 Micro‐satellite Attitude determination Attitude control Magnetic control Kalman Filter Inertia Artificial satellites Micro/nano‐satellite technology is attracting more and more research attention in recent years as a new tool...