Kutlu, Aykut
Tekinalp, Ozan
This study presents the design of a Kalman filter based attitude determination algorithms for a hypothetical LEO satellite with a multimode structure that employs different sensor combinations and as well as online switching between these combinations depending on the sensor availability. The performance and effectiveness of these different attitude determination modes and the multimode structure are investigated through simulations. Especially the accuracy of the state estimation and the behavior of the system covariance matrix on the mode transition phases are presented. In conclusion, performance comparison for a successive attitude maneuvers and for a fixed attitude hold maneuver between the asynchronous multimode structure and accurate mode having synchronous sensor measurements are discussed.


Kalman filter based modification on helicopter adaptive control
Yavrucuk, İlkay (null; 2015-01-05)
In this paper, a Kalman Filter based e-modification term is used in the update law of an online learning adaptive neural network controller for a helicopter application. The controller is applied to a high fidelity helicopter simulation model. The applications include both an example on a single-input single-output controller structure using a linear in the parameter neural network, but also a multi-input multi-output neural network structure to compensate uncertainties in the attitude control of a helicopt...
Kalman filtering based approach for light flicker evaluation of power systems
Kose, N.; Salor, O.; Leblebicioğlu, Mehmet Kemal (Institution of Engineering and Technology (IET), 2011-01-01)
In this study, a Kalman filtering based approach is proposed to measure the light flicker of the electricity transmission systems. Analytical expressions of the instantaneous light flicker sensation are used to obtain a flicker estimation method based on the International Electrotechnical Commission (IEC) flickermeter. In the proposed method, the frequency domain components of the voltage waveform are obtained by Kalman filtering and these components are used to obtain the light flicker. The method is teste...
Kalman filter based applications for helicopters
Okatan, Merve; Yavrucuk, İlkay; Department of Aerospace Engineering (2014)
The study in this thesis comprises Kalman Filter based applications for helicopters. In the first part of this thesis, a Kalman filter for a helicopter is designed to integrate micro-electromechanical sensors with the Global Navigation Satellite Systems to achieve desired accuracy levels. It is implemented to a non-linear helicopter model and its performance is shown through simulations. In the second part of this thesis, Kalman Filter approach is adopted to neural network based adaptive controllers as a mo...
Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements
Guldogan, Mehmet B.; Orguner, Umut; Gustafsson, Fredrik (2012-05-17)
In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using a passive sensor network. Non-cooperative transmissions from illuminators of opportunity like GSM base stations, FM radio transmitters or digital broadcasters are exploited by non-directional separately located Doppler measuring sensors. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target s...
Kalman filter based fusion of camera and inertial sensor measurements for body state estimation
Aslan Aydemir, Gökçen; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2009)
The focus of the present thesis is on the joint use of cameras and inertial sensors, a recent area of active research. Within our scope, the performance of body state estimation is investigated with isolated inertial sensors, isolated cameras and finally with a fusion of two types of sensors within a Kalman Filtering framework. The study consists of both simulation and real hardware experiments. The body state estimation problem is restricted to a single axis rotation where we estimate turn angle and turn r...
Citation Formats
A. Kutlu and O. Tekinalp, “KALMAN FILTER BASED MULTIMODE ATTITUDE DETERMINATION ALGORITHMS FOR A LEO SATELLITE,” 2009, vol. 134, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55533.