In this paper we consider an aerial vehicle transporting a suspended payload and propose an Extended Kalman filter for payload state estimation. The filter is based on derived system dynamics and relies solely on onboard IMU measurements. Effectiveness of the method is verified in numerical simulations and experimentally.
Extended Kalman filter for payload state estimation utilizing aircraft inertial sensing
01.10.2021
2880644 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Extended Kalman Filter vs. Error State Kalman Filter for Aircraft Attitude Estimation
British Library Conference Proceedings | 2011
|Extended Kalman Filter for MMS State Estimation
NTRS | 2009
|