Open AccessExtended Kalman Filter Based Estimations for Satellite Attitude Control System
Author(s) -
D. Y. Dube,
Shambhu N. Sharma,
Himanshu Patel
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2592.0610521
Subject(s) - control theory (sociology) , kalman filter , extended kalman filter , computer science , invariant extended kalman filter , satellite , filter (signal processing) , engineering , control (management) , artificial intelligence , computer vision , aerospace engineering
This paper mainly focuses on the maneuver of thesatellite in orbit. A non-linear multi-inputs multi-outputs modelhas been derived from Newton-Euler equations of motion. Thedynamics is presented with control methodologies allowing theExtended Kalman Filter (EKF) to iteratively provide improveddata sets with zero errors. As the system is distracted from theatmospheric swings which are random hence the problem ofstochastic disturbance is furnished. A set of differential equationsof two dimensional Ito stochastic type is used for modeling thesaid disturbances (before t = 4s is recorded). The attitudeparameters are recorded in RT-LAB setup with the ExtendedKalman Filter (EKF) providing adequately superior estimationoutcome which thereby makes the filter more appealing. With thepresence of Gaussian noise in both dimension and system,Extended Kalman Filter gives the correct estimates. It’scollaboration with hardware setup RT-LAB is commendable.Hence, an Extended Kalman Filter which deals with such nonlinear models proves to be a higher choice for achieving bestonline results. A comparison reflecting the tracking and stablecontrol of the satellite for the designed advanced adaptive robustcontroller (AARC) for two situations is plotted. The priority ofmaking the system stable in the presence of stochasticdisturbance is also visited. Also, the use of three different valuesof the confounding variables revealed that the control weightingline is completely diminished thereby boosting the tracking whenthe satellite is in orbit. Moreover, the previous research involvesmethods to improve satellite communication on ground station,this paper deals with exact positioning of concerned satelliteattitude parameters and its validation tested experimentally onOPAL-RT hardware. To sum up, the development of advancedadaptive robust controllers have encouraged the stability andaccuracy of systems considering the varying atmosphericconditions. The simulation results predict perfect tracking ofoutput with respect to the desired set-point in the presence ofstochastic disturbance for the proposed controller.