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-Abstract
Fault detection algorithm design of satellite inflight control is important for most remote sensing satellites. The responsibility of a satellite attitude control system always keeps the satellite in a stable mode. A satellite control mode contains standby, imaging and detumbling modes. Before we start imaging, we used to prepare an attitude control system to change satellite angles according to payload camera planning schedule to shoot a specific area of interest. After imaging is complete, the attitude control changes satellite angles back to nadir (zero tilting angels). Some control problems may cause failures which put the satellite in a detumbling mode due to accumulated torque on reaction wheel of the satellite. Artificial intelligent design algorithm of particle swarm optimization (PSO) is proposed to control the satellite in real-time mode, which decreases the angular velocity received from the satellite. This approach calculates the difference between the real-time measurement and the designed angular velocity (∆θ) within the satellite communication session time. The Matlab customization function implements PSO controller. The mathematical model of satellite attitude control system has been designed according to the satellite dynamics and kinematics laws. The approached mathematical model is implemented using Simulink Matlab tools.
DOI
10.21608/mjeer.2019.64936
Keywords
Fault diagnosis algorithm, particle swarm optimization (PSO), satellite control, and Euler’s moment equations
Authors
Affiliation
Ground Station, Mission Control
Center Flight Director
National Authority for Remote
Sensing and Space Science (NARSS) Cairo, Egypt
Email
-City
-Orcid
-MiddleName
-Affiliation
On-Board Computer &
Space software, PH.D
National Authority for Remote
Sensing and Space Science (NARSS)
Cairo, Egypt
Email
-City
-Orcid
-MiddleName
-Affiliation
department of Computer Science and Engineering, Ph.D
Monoufia University
Monoufia, Egypt
Email
-City
-Orcid
-Article Issue
ICEEM2019-Special Issue
Link
https://mjeer.journals.ekb.eg/article_64936.html
Detail API
https://mjeer.journals.ekb.eg/service?article_code=64936
Publication Title
Menoufia Journal of Electronic Engineering Research
Publication Link
https://mjeer.journals.ekb.eg/
MainTitle
Fault Detection and Avoidance for Spacecraft Failure using PSO Algorithm