Add to ORKGThe least squares method has been applied to estimate parameters inan aerodynamic model of a simulated aircraft, using data that can beexpected to available from sensors on an Unmanned Aerial Vehicle. Acombination of two non-linear state observers have been implemented toestimate wind data such as angle of attack, sideslip and dynamic pressure.Simulations have confirmed that the observers are able to estimete thewind data using noisy sensor measurements. Parameter estimation havebeen demonstrated with both measured and estimated wind data
Unmanned aerial vehicles (UAVs) is a rapidly expanding area of research due to their versatile usage...
This paper describes the methods and results of an identification campaign, which has been set up fo...
An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity ve...
The aerodynamic coefficients are important in the evaluation of an aircraft performance and stabilit...
The aim of the present work is to realize an identification algorithm especially devoted to UAS (unm...
An algorithm to perform the on line identification of the wind shear components suitable for the UAS...
System identification of an Unmanned Aerial Vehicle (UAV), to acquire its mathematical model, is a s...
Small low-cost unmanned aerial vehicles (UAVs) are a newly emerging resource for personal remote sen...
This work describes the design and implementation of a real-time aerodynamic parameter estimation al...
This paper deals with the identification of the aerodynamic model of the Unmanned Space Vehicle real...
Stability and control derivatives of Skywalker X8 flying wing from flight-test data are estimated by...
Stability and control derivatives of Skywalker X8 flying wing from flight-test data are estimated by...
Remote sensing has usually been done with satellites and manned aircraft. While they can be useful, ...
A dissertation submitted to the Faculty of Engineering and the Built Environment, School of Mechanic...
The use of small fixed-wing unmanned aerial vehicles has shown an explosive growth in recent years a...
Unmanned aerial vehicles (UAVs) is a rapidly expanding area of research due to their versatile usage...
This paper describes the methods and results of an identification campaign, which has been set up fo...
An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity ve...
The aerodynamic coefficients are important in the evaluation of an aircraft performance and stabilit...
The aim of the present work is to realize an identification algorithm especially devoted to UAS (unm...
An algorithm to perform the on line identification of the wind shear components suitable for the UAS...
System identification of an Unmanned Aerial Vehicle (UAV), to acquire its mathematical model, is a s...
Small low-cost unmanned aerial vehicles (UAVs) are a newly emerging resource for personal remote sen...
This work describes the design and implementation of a real-time aerodynamic parameter estimation al...
This paper deals with the identification of the aerodynamic model of the Unmanned Space Vehicle real...
Stability and control derivatives of Skywalker X8 flying wing from flight-test data are estimated by...
Stability and control derivatives of Skywalker X8 flying wing from flight-test data are estimated by...
Remote sensing has usually been done with satellites and manned aircraft. While they can be useful, ...
A dissertation submitted to the Faculty of Engineering and the Built Environment, School of Mechanic...
The use of small fixed-wing unmanned aerial vehicles has shown an explosive growth in recent years a...
Unmanned aerial vehicles (UAVs) is a rapidly expanding area of research due to their versatile usage...
This paper describes the methods and results of an identification campaign, which has been set up fo...
An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity ve...