DocumentCode :
1886750
Title :
Intelligent landing of Unmanned Aerial Vehicle using hierarchical fuzzy control
Author :
Zhi, Liu ; Yong, Wang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
3-10 March 2012
Firstpage :
1
Lastpage :
12
Abstract :
To improve the security of landing, the new purpose of confining all the touchdown states to their safe ranges is proposed instead of just trajectory tracking. The Integrated Landing Reference System (ILRS) provides sufficient and reasonable guidance information optimized considering the deflection margin, security margin and touchdown requirements. Inspired by the pilot´s experience, three-layer hierarchical fuzzy controller is designed to make the compromise between trajectory tracking and touchdown security. In the first layer, the sink rate and the pitch angle are coordinated based on the priorities allocated according to the security margins at different altitudes. The hybrid fuzzy logic plus Proportional-Integral (PI) controller is employed in the second layer and the third layer to provide expected response performances. The critical touchdown states are coordinated and protected through the simulation verification under the conditions of different uncertainties. The Monte Carlo simulation incorporated with various uncertainties shows that the intelligent landing improves the security and robustness significantly compared with traditional trajectory tracking.
Keywords :
Monte Carlo methods; PI control; aircraft landing guidance; autonomous aerial vehicles; fuzzy control; robust control; trajectory control; Monte Carlo simulation; critical touchdown states; deflection margin; fuzzy logic controller; integrated landing reference system; intelligent landing; landing security; pitch angle; proportional integral controller; robustness; security margin; simulation verification; sink rate; three-layer hierarchical fuzzy controller; touchdown requirements; touchdown security; trajectory tracking; unmanned aerial vehicle; Equations; Fuzzy logic; Niobium; Noise measurement; Pragmatics; Security; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2012 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4577-0556-4
Type :
conf
DOI :
10.1109/AERO.2012.6187321
Filename :
6187321
Link To Document :
بازگشت