@inproceedings{0d2b00a26ad743cc8d450c5ae11ad5e4,
title = "Nonlinear Model Predictive Control for Spacecraft Attitude Tracking with Kalman Filter",
abstract = "This technical paper provides an attitude tracking strategy by employing a nonlinear model predictive controller (NMPC). To directly use the relative navigation information, the piecewise affine (PWA) model based on the Euler dynamics is adopted. Due to the singularity of Euler angles, a singularity-free strategy is proposed to complete continuous attitude tracking. Consider the sensor uncertainty and disturbance, the Kalman filter is combined with the NMPC framework. Finally, the numerical results are presented to show the control performance.",
keywords = "Attitude tracking, NMPC, singularity-free",
author = "Li, \{Dong Ting\} and Wu, \{Ai Guo\} and Peng Li",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Chinese Automation Congress, CAC 2020 ; Conference date: 06-11-2020 Through 08-11-2020",
year = "2020",
month = nov,
day = "6",
doi = "10.1109/CAC51589.2020.9326718",
language = "英语",
series = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3389--3394",
booktitle = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
address = "美国",
}