DocumentCode
164155
Title
Improving the performance of aerial vehicles with delayed measures via state predictor-control: Experimental data validation
Author
Alatorre, A. ; Castillo, Pedro ; Mondie, Sabine
Author_Institution
CINVESTAV-IPN, Mexico City, Mexico
fYear
2014
fDate
27-30 May 2014
Firstpage
910
Lastpage
919
Abstract
A state predictor control scheme is presented in this paper. The predictor is based on the Fundamental Calculus Theorem and its stability analysis is proved using the Backstepping approach. The proposed predictor-control scheme is validated in the nonlinear model of a quadrotor vehicle with delayed inputs. In order to prove its robustness in simulation, noise and dropout data are included in the emulation of the closed-loop system. In addition, real-data are also used to validate the predictor-control scheme. Numerical and experimental data results confirm the well behavior of the closed-loop system.
Keywords
asymptotic stability; autonomous aerial vehicles; closed loop systems; helicopters; nonlinear control systems; predictive control; aerial vehicle; backstepping approach; closed-loop system; dropout data; experimental data validation; fundamental calculus theorem; noise; nonlinear model; predictor-control scheme; quadrotor vehicle; robustness; stability analysis; state predictor control scheme; Closed loop systems; Delays; Equations; Mathematical model; Sensor phenomena and characterization; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/ICUAS.2014.6842340
Filename
6842340
Link To Document