2022 IEEE International Conference on Control, Mechatronics and Automation Attitude Filter + Control
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Title: QUEST-based Kalman filter and LQR for Satellite Attitude Control,
In Proceeding of the 10th IEEE International Conference on Control, Mechatronics and Automation (ICCMA’22), Luxembourg, Luxembourg, pp. 1-7, 2022.
Authors: Moise Mowema and Hashim A Hashim
The authors are with the Department of Mechanical and Aerospace Engineering at Carleton University, Ottawa, Ontario, Canada.
The conference was presented by Moise Mowema
This work was supported in part by National Sciences and Engineering
Research Council of Canada (NSERC), under the grants RGPIN-2022-04937.
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This conference paper proposes QUEST-based Kalman filter and Linear Quadratic Regulator (LQR) for Satellite Attitude Control. The filter successfully filter out the noise and estimates the satellite 's attitude, while the controller controls satellite orientation.
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[Ref1] H. A. Hashim and K. G. Vamvoudakis, “Adaptive Neural Network Stochastic-Filter-based Controller for Attitude Tracking with Disturbance Rejection,” IEEE Transactions on Neural Networks and Learning Systems, Vol. PP, No. PP, pp. 1-11, 2022.
[Ref2] H. A. Hashim, “Systematic Convergence of Nonlinear Stochastic Estimators on the Special Orthogonal Group SO(3),” International Journal of Robust and Nonlinear Control, Vol. 30, No. 10, pp. 3848-3870, 2020.
[Ref3] H. A. Hashim, L. J. Brown, and K. McIsaac, “Nonlinear Stochastic Attitude Filters on the Special Orthogonal Group 3: Ito and Stratonovich,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, No. 9, pp. 1853-1865, 2019.