Print Email Facebook Twitter Attitude Estimation of a Quadcopter with one fully damaged rotor using on-board MARG Sensors Title Attitude Estimation of a Quadcopter with one fully damaged rotor using on-board MARG Sensors Author Solanki, P. (TU Delft Control & Simulation) de Visser, C.C. (TU Delft Control & Simulation) Date 2022 Abstract Quadcopters are becoming increasingly popular across diverse sectors. Since rotor damages occur frequently, it is essential to improve the attitude estimation and thus ultimately the ability to control a damaged quadcopter. This research is based on a state-of-the-art method that makes it possible to control the quadcopter despite the total failure of a single rotor, where the attitude and position of the quadcopter are provided by an external system. In the present research, a novel attitude estimator called Adaptive Fuzzy Complementary Kalman Filter (AFCKF) has been developed and validated that works independently of any external systems. It is able to estimate the attitude of a quadcopter with one fully damaged rotor while only relying on the on-board MARG (Magnetometer, Accelerometer, Rate Gyroscope) sensors. The AFCKF provides significantly better attitude estimates for flights with a damaged rotor than mainstream filters, estimating the roll and pitch of the quadcopter with an RMS error of less than 1.7 degrees and a variance of less than 2 degrees. The proposed filter also provides accurate yaw estimates despite the fast spinning motion of the damaged quadcopter, and thus outperforms existing methods at the cost of only a small increase in computation. To reference this document use: http://resolver.tudelft.nl/uuid:bca98543-7be3-4389-8d82-edaaf1d2e389 DOI https://doi.org/10.2514/6.2022-0857 ISBN 978-1-62410-631-6 Source AIAA SCITECH 2022 Forum Event AIAA SCITECH 2022 Forum, 2022-01-03 → 2022-01-07, virtual event Series AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 Part of collection Institutional Repository Document type conference paper Rights © 2022 P. Solanki, C.C. de Visser Files PDF 6.2022_0857.pdf 507.21 KB Close viewer /islandora/object/uuid:bca98543-7be3-4389-8d82-edaaf1d2e389/datastream/OBJ/view