DocumentCode
3275061
Title
Variable robustness control design for system of aerospace vehicle
Author
Haider, Syed Zeeshan ; Khan, Kunwar Faraz Ahmed ; Awan, Asad Ullah ; Liaquat, Muwahida
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear
2015
fDate
20-22 May 2015
Firstpage
103
Lastpage
108
Abstract
A robust control is developed for the system of aerospace vehicle via variable robustness control (VRC) algorithm. Aerospace vehicle dynamics contain uncertainties due to cross coupling between longitudinal and lateral dynamics. The proposed scheme makes the system of aerospace vehicle impervious of uncertainties ensuring high performance. The variable robustness control technique is based upon scenario approach of robust control design which gives flexibility of modulating robustness in control design. Scenario approach is a probabilistic approach in which cost function can be guaranteed with a certain probability. The effectiveness of proposed control design is established in presence of unknown non-linear dynamics. VRC uses convex optimization of constraints formulated in the form of linear matrix inequalities. The performance of proposed technique is tested in comparison with H∞ control design technique.
Keywords
H∞ control; aerospace control; control system synthesis; convex programming; linear matrix inequalities; nonlinear dynamical systems; probability; robust control; uncertain systems; vehicle dynamics; H∞ control design technique; VRC algorithm; aerospace vehicle dynamics; aerospace vehicle system; convex optimization; lateral dynamics; linear matrix inequalities; longitudinal dynamics; noninear dynamics; probabilistic approach; robust control design; variable robustness control design; Aerodynamics; Algorithm design and analysis; Control design; Mathematical model; Robustness; Uncertainty; Vehicles; Η∞ control; convex optimization; linear matrix inequalities; robust control; scenario approach;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Robotics (ICCAR), 2015 International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4673-7522-1
Type
conf
DOI
10.1109/ICCAR.2015.7166011
Filename
7166011
Link To Document