Sensors, Vol. 19, Pages 4174: EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels

Sensors, Vol. 19, Pages 4174: EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels Sensors doi: 10.3390/s19194174 Authors: Rodrigo Munguía Sarquis Urzua Antoni Grau This work presents a method for estimating the model parameters of multi-rotor unmanned aerial vehicles by means of an extended Kalman filter. Different from test-bed based identification methods, the proposed approach estimates all the model parameters of a multi-rotor aerial vehicle, using a single online estimation process that integrates measurements that can be obtained directly from onboard sensors commonly available in this kind of UAV. In order to develop the proposed method, the observability property of the system is investigated by means of a nonlinear observability analysis. First, the dynamic models of three classes of multi-rotor aerial vehicles are presented. Then, in order to carry out the observability analysis, the state vector is augmented by considering the parameters to be identified as state variables with zero dynamics. From the analysis, the sets of measurements from which the model parameters can be estimated are derived. Furthermore, the necessary conditions that must be satisfied in order to obtain the observability results are given. An extensive set of computer simulations is carried out in order to validate the proposed method. According to the simulation results, it is feasible to estimate all the model parameters of a multi-rotor aerial vehic...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research