Controller Reliability Assessment Model: A New Method for Reliability Assessment of Attitude Control Subsystem in Space Missions

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Abstract The objective of this research is to assess the reliability of the controller and attitude control subsystem (ACS) of a LEO satellite using the presented Controller Reliability Assessment Model (CRAM). CRAM is based on the Software in the Loop (SIL) simulation which leads to the construction of a database from ACS performance. Using data analysis techniques leads to a comprehensive understanding of the ACS’s controller functionality and determines the failure rate of the controller’s component. In addition, Reliability Block Diagram (RBD) is implemented to visualize the contribution of the controller and estimate the reliability of the controllers according to the evaluated failure rates and reliability mathematical model for three years of operating. CRAM defines the relatively most robust, and accurate controller with the fastest response and highest reliability. In the designed control system, solar radiation, gravity gradient, and aerodynamic effects are considered as external disturbances. The actuator's loss of effectiveness is considered as an internal disturbance. The Tetrahedron configuration of reaction wheels is modeled in which three reaction wheels serve as three-axis control, and one reaction wheel as a redundant actuator. In this research, controllers such as PD, H∞, and two different types of sliding mode controllers are considered.
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Controller Reliability Assessment Model: A New Method for Reliability Assessment of Attitude Control Subsystem in Space Missions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Controller Reliability Assessment Model: A New Method for Reliability Assessment of Attitude Control Subsystem in Space Missions Mahrad Damircheli, Mahdi Fakoor This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4391398/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The objective of this research is to assess the reliability of the controller and attitude control subsystem (ACS) of a LEO satellite using the presented Controller Reliability Assessment Model (CRAM). CRAM is based on the Software in the Loop (SIL) simulation which leads to the construction of a database from ACS performance. Using data analysis techniques leads to a comprehensive understanding of the ACS’s controller functionality and determines the failure rate of the controller’s component. In addition, Reliability Block Diagram (RBD) is implemented to visualize the contribution of the controller and estimate the reliability of the controllers according to the evaluated failure rates and reliability mathematical model for three years of operating. CRAM defines the relatively most robust, and accurate controller with the fastest response and highest reliability. In the designed control system, solar radiation, gravity gradient, and aerodynamic effects are considered as external disturbances. The actuator's loss of effectiveness is considered as an internal disturbance. The Tetrahedron configuration of reaction wheels is modeled in which three reaction wheels serve as three-axis control, and one reaction wheel as a redundant actuator. In this research, controllers such as PD, H ∞ , and two different types of sliding mode controllers are considered. Attitude control subsystem FALM Data analysis Reliability Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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