Reference number : GC-2017-Q1-00439, amendment number : , agreement type : G, recipient legal name : Lee, Regina (York University)|Lee, Regina (Université York), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Microsat Systems Canada Inc. (referred to as 'MSCI hereinafter) is a privately held Canadian corporation based_x000D_
in Mississauga, Ontario. MSCI is a world-renowned premiere builder of microsatellites in Canada over the past_x000D_
two decades with worldwide track record in attitude control system (ACS) design, ACS sensors and actuators._x000D_
In particular, MSCI's reaction wheels - critical component in ACS actuator suite - have been launched and are_x000D_
operational in orbit, with over 216 years of accumulated flight heritage and 58 billion revolutions without_x000D_
failure [1]. Our research team at York University is proposing to extend our current ACS research to examine_x000D_
reaction wheel parameter identification with special interest in MSCI's reaction wheels. We propose to develop_x000D_
a novel method to characterize the wheels' performance and estimate the moment of inertia of the reaction_x000D_
wheel's rotor, which is considered a key parameter in providing a higher accuracy attitude control. The_x000D_
proposed research is in direct support of MSCI's current efforts to improve the manufacturing and testing their_x000D_
reaction wheels. We aim to provide reliable and cost-effective means to better evaluate the wheels'_x000D_
performance and advice on cost-saving methods for manufacturing of such commercial products._x000D_
While we have made significant progress towards developing advanced determination and control algorithms_x000D_
designed to compensate for uncertainty in attitude control hardware, there still exist significant gap in sensor_x000D_
and actuator modeling. For example, there is still a great need for high-fidelity actuator model and estimation_x000D_
of actuator parameters to achieve arc-second level pointing accuracy on small spacecraft. The contribution of_x000D_
this study is in developing novel and reliable ways to model attitude actuator. In particular, we propose to_x000D_
develop a methodology for modeling reaction wheels and estimate their key immeasurable parameters., program purpose french : Microsat Systems Canada Inc. (referred to as 'MSCI hereinafter) is a privately held Canadian corporation based_x000D_
in Mississauga, Ontario. MSCI is a world-renowned premiere builder of microsatellites in Canada over the past_x000D_
two decades with worldwide track record in attitude control system (ACS) design, ACS sensors and actuators._x000D_
In particular, MSCI's reaction wheels - critical component in ACS actuator suite - have been launched and are_x000D_
operational in orbit, with over 216 years of accumulated flight heritage and 58 billion revolutions without_x000D_
failure [1]. Our research team at York University is proposing to extend our current ACS research to examine_x000D_
reaction wheel parameter identification with special interest in MSCI's reaction wheels. We propose to develop_x000D_
a novel method to characterize the wheels' performance and estimate the moment of inertia of the reaction_x000D_
wheel's rotor, which is considered a key parameter in providing a higher accuracy attitude control. The_x000D_
proposed research is in direct support of MSCI's current efforts to improve the manufacturing and testing their_x000D_
reaction wheels. We aim to provide reliable and cost-effective means to better evaluate the wheels'_x000D_
performance and advice on cost-saving methods for manufacturing of such commercial products._x000D_
While we have made significant progress towards developing advanced determination and control algorithms_x000D_
designed to compensate for uncertainty in attitude control hardware, there still exist significant gap in sensor_x000D_
and actuator modeling. For example, there is still a great need for high-fidelity actuator model and estimation_x000D_
of actuator parameters to achieve arc-second level pointing accuracy on small spacecraft. The contribution of_x000D_
this study is in developing novel and reliable ways to model attitude actuator. In particular, we propose to_x000D_
develop a methodology for modeling reaction wheels and estimate their key immeasurable parameters., agreement title english : Reaction wheel Parameter Identification, agreement title french : Reaction wheel Parameter Identification, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada