Abstract
We develop a stable scheme for bias estimation in the case of attitude tracking. The scheme is based on the design of nonlinear observers for unknown bias identification and state estimation. In the case of gyro bias, our nonlinear observer design, based on the quaternion dynamics, leads to an error model and adjustment laws that result in guaranteed convergence of the unknown bias estimates to their true values. We demonstrate that our scheme results in a stable overall system, and achieves highly accurate pointing in the presence of unknown sensor bias. The properties of the proposed scheme are evaluated through simulations using a generic spacecraft model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.